{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\nprasad\Dropbox\Idol experiment\Data\For Submission\Log_For_Paper.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}23 Jan 2024, 15:09:34

{com}. do "C:\Users\nprasad\AppData\Local\Temp\STDa00_000000.tmp"
{txt}
{com}. 
. 
. *************Results and Analysis************* 
. 
. global X_imbalance urban news
{txt}
{com}. global X_full age female edu
{txt}
{com}. 
. 
. 
. ********************************************************************************
. *** Main Table I: Priming experiment and effect of corrections 
. ********************************************************************************
. 
. {c -(}
. 
. eststo clear
. 
. **Model 1:  Feelings Towards Religious Outgroup**
. 
. reg feel_outgroup i.treat_ft $X_full, robust

{txt}Linear regression                               Number of obs     = {res}     2,560
                                                {txt}F(4, 2555)        =  {res}     4.57
                                                {txt}Prob > F          = {res}    0.0011
                                                {txt}R-squared         = {res}    0.0073
                                                {txt}Root MSE          =    {res} 28.296

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}feel_outgr~p{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.treat_ft {c |}{col 14}{res}{space 2} -4.79444{col 26}{space 2} 1.337417{col 37}{space 1}   -3.58{col 46}{space 3}0.000{col 54}{space 4}-7.416972{col 67}{space 3}-2.171908
{txt}{space 9}age {c |}{col 14}{res}{space 2}-1.650352{col 26}{space 2} 1.803554{col 37}{space 1}   -0.92{col 46}{space 3}0.360{col 54}{space 4}-5.186928{col 67}{space 3} 1.886223
{txt}{space 6}female {c |}{col 14}{res}{space 2} .7570525{col 26}{space 2} 1.130168{col 37}{space 1}    0.67{col 46}{space 3}0.503{col 54}{space 4}-1.459086{col 67}{space 3} 2.973191
{txt}{space 9}edu {c |}{col 14}{res}{space 2}-1.859506{col 26}{space 2} .8152928{col 37}{space 1}   -2.28{col 46}{space 3}0.023{col 54}{space 4}-3.458208{col 67}{space 3}-.2608038
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 64.60744{col 26}{space 2} 7.189194{col 37}{space 1}    8.99{col 46}{space 3}0.000{col 54}{space 4}  50.5102{col 67}{space 3} 78.70468
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store   M1
. 
. **Model 2: Feelings Towards Religious Ingroup**
. reg feel_ingroup i.treat_ft  $X_full, robust

{txt}Linear regression                               Number of obs     = {res}     2,530
                                                {txt}F(4, 2525)        =  {res}     5.55
                                                {txt}Prob > F          = {res}    0.0002
                                                {txt}R-squared         = {res}    0.0089
                                                {txt}Root MSE          =    {res} 17.803

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}feel_ingroup{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.treat_ft {c |}{col 14}{res}{space 2} 1.376123{col 26}{space 2} .8646069{col 37}{space 1}    1.59{col 46}{space 3}0.112{col 54}{space 4}-.3192878{col 67}{space 3} 3.071534
{txt}{space 9}age {c |}{col 14}{res}{space 2}-.6196358{col 26}{space 2} 1.144895{col 37}{space 1}   -0.54{col 46}{space 3}0.588{col 54}{space 4}-2.864665{col 67}{space 3} 1.625393
{txt}{space 6}female {c |}{col 14}{res}{space 2}-2.460561{col 26}{space 2} .7192925{col 37}{space 1}   -3.42{col 46}{space 3}0.001{col 54}{space 4}-3.871025{col 67}{space 3}-1.050098
{txt}{space 9}edu {c |}{col 14}{res}{space 2}-1.681355{col 26}{space 2} .5029187{col 37}{space 1}   -3.34{col 46}{space 3}0.001{col 54}{space 4} -2.66753{col 67}{space 3}-.6951799
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 88.82828{col 26}{space 2} 4.565198{col 37}{space 1}   19.46{col 46}{space 3}0.000{col 54}{space 4} 79.87637{col 67}{space 3}  97.7802
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store M2
. 
. **Model 3: Polarization, Feelings Difference Ingroup minus Outgroup**
. reg feel_inminusout i.treat_ft  $X_full, robust

{txt}Linear regression                               Number of obs     = {res}     2,439
                                                {txt}F(4, 2434)        =  {res}     3.98
                                                {txt}Prob > F          = {res}    0.0032
                                                {txt}R-squared         = {res}    0.0065
                                                {txt}Root MSE          =    {res}  33.14

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}feel_inmin~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.treat_ft {c |}{col 14}{res}{space 2} 5.424561{col 26}{space 2} 1.593087{col 37}{space 1}    3.41{col 46}{space 3}0.001{col 54}{space 4} 2.300615{col 67}{space 3} 8.548507
{txt}{space 9}age {c |}{col 14}{res}{space 2} 1.901859{col 26}{space 2} 2.108354{col 37}{space 1}    0.90{col 46}{space 3}0.367{col 54}{space 4}-2.232495{col 67}{space 3} 6.036213
{txt}{space 6}female {c |}{col 14}{res}{space 2} -2.56926{col 26}{space 2} 1.361936{col 37}{space 1}   -1.89{col 46}{space 3}0.059{col 54}{space 4}-5.239934{col 67}{space 3} .1014146
{txt}{space 9}edu {c |}{col 14}{res}{space 2} .1339029{col 26}{space 2} .9512727{col 37}{space 1}    0.14{col 46}{space 3}0.888{col 54}{space 4}-1.731485{col 67}{space 3} 1.999291
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 18.92094{col 26}{space 2}  8.49138{col 37}{space 1}    2.23{col 46}{space 3}0.026{col 54}{space 4} 2.269857{col 67}{space 3} 35.57202
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store M3
. 
. **Model 4: Feelings Towards Religious Outgroup with Any Correction**
. reg feel_outgroup i.treat_idol_any $X_full if treat_ft==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,949
                                                {txt}F(4, 1944)        =  {res}     2.36
                                                {txt}Prob > F          = {res}    0.0513
                                                {txt}R-squared         = {res}    0.0046
                                                {txt}Root MSE          =    {res}  28.04

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}  feel_outgroup{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}treat_idol_any {c |}
Any correction  {c |}{col 17}{res}{space 2}-1.807761{col 29}{space 2} 1.356167{col 40}{space 1}   -1.33{col 49}{space 3}0.183{col 57}{space 4}-4.467455{col 70}{space 3} .8519328
{txt}{space 12}age {c |}{col 17}{res}{space 2}-2.875579{col 29}{space 2} 2.076901{col 40}{space 1}   -1.38{col 49}{space 3}0.166{col 57}{space 4}-6.948766{col 70}{space 3} 1.197608
{txt}{space 9}female {c |}{col 17}{res}{space 2}  1.71353{col 29}{space 2}  1.28596{col 40}{space 1}    1.33{col 49}{space 3}0.183{col 57}{space 4}-.8084749{col 70}{space 3} 4.235535
{txt}{space 12}edu {c |}{col 17}{res}{space 2}-1.998655{col 29}{space 2} .9276637{col 40}{space 1}   -2.15{col 49}{space 3}0.031{col 57}{space 4}-3.817975{col 70}{space 3}-.1793346
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 65.14065{col 29}{space 2} 8.161733{col 40}{space 1}    7.98{col 49}{space 3}0.000{col 57}{space 4} 49.13398{col 70}{space 3} 81.14732
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store M4
. 
. **Model 5: Feelings Towards Religious Outgroup with Disaggregated Correction**
. reg feel_outgroup treat_idol_correct treat_idol_priest $X_full if treat_ft==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,949
                                                {txt}F(5, 1943)        =  {res}     1.97
                                                {txt}Prob > F          = {res}    0.0805
                                                {txt}R-squared         = {res}    0.0048
                                                {txt}Root MSE          =    {res} 28.045

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     feel_outgroup{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
treat_idol_correct {c |}{col 20}{res}{space 2} -1.38692{col 32}{space 2} 1.548168{col 43}{space 1}   -0.90{col 52}{space 3}0.370{col 60}{space 4}-4.423165{col 73}{space 3} 1.649325
{txt}{space 1}treat_idol_priest {c |}{col 20}{res}{space 2}-2.267684{col 32}{space 2}   1.5759{col 43}{space 1}   -1.44{col 52}{space 3}0.150{col 60}{space 4}-5.358316{col 73}{space 3} .8229473
{txt}{space 15}age {c |}{col 20}{res}{space 2}-2.867299{col 32}{space 2} 2.078069{col 43}{space 1}   -1.38{col 52}{space 3}0.168{col 60}{space 4}-6.942779{col 73}{space 3}  1.20818
{txt}{space 12}female {c |}{col 20}{res}{space 2} 1.705665{col 32}{space 2} 1.286292{col 43}{space 1}    1.33{col 52}{space 3}0.185{col 60}{space 4}-.8169932{col 73}{space 3} 4.228323
{txt}{space 15}edu {c |}{col 20}{res}{space 2}-1.995023{col 32}{space 2} .9280485{col 43}{space 1}   -2.15{col 52}{space 3}0.032{col 60}{space 4}-3.815098{col 73}{space 3}-.1749478
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 65.11029{col 32}{space 2} 8.165558{col 43}{space 1}    7.97{col 52}{space 3}0.000{col 60}{space 4} 49.09612{col 73}{space 3} 81.12447
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store M5
. 
. **Generate Table I. Priming experiment and effect of corrections
. estout M1 M2 M3 M4 M5 , style(tex)  cells( b(star fmt(%9.3f) label(Coef.)) se(label(Std. err.) par) )  stats(r2 r2_a N, fmt(%9.3f %9.0g) labels(R-squared Adjusted R2)) legend label collabels(none) varlabels(_cons Constant) starlevels($^\dag$ 0.10 * 0.05 ** 0.01 *** 0.001) keep(1.treat_ft age female edu 1.treat_idol_any treat_idol_correct treat_idol_priest  _cons)
{res}
                    &          M1   &          M2   &          M3   &          M4   &          M5   \\
Prime=1             &      -4.794***&       1.376   &       5.425***&               &               \\
                    &     (1.337)   &     (0.865)   &     (1.593)   &               &               \\
Age                 &      -1.650   &      -0.620   &       1.902   &      -2.876   &      -2.867   \\
                    &     (1.804)   &     (1.145)   &     (2.108)   &     (2.077)   &     (2.078)   \\
Gender              &       0.757   &      -2.461***&  -2.569$^\dag$&       1.714   &       1.706   \\
                    &     (1.130)   &     (0.719)   &     (1.362)   &     (1.286)   &     (1.286)   \\
Education           &      -1.860*  &      -1.681***&       0.134   &      -1.999*  &      -1.995*  \\
                    &     (0.815)   &     (0.503)   &     (0.951)   &     (0.928)   &     (0.928)   \\
Any correction      &               &               &               &      -1.808   &               \\
                    &               &               &               &     (1.356)   &               \\
Generic correction  &               &               &               &               &      -1.387   \\
                    &               &               &               &               &     (1.548)   \\
Priest Correction   &               &               &               &               &      -2.268   \\
                    &               &               &               &               &     (1.576)   \\
Constant            &      64.607***&      88.828***&      18.921*  &      65.141***&      65.110***\\
                    &     (7.189)   &     (4.565)   &     (8.491)   &     (8.162)   &     (8.166)   \\
R-squared           &       0.007   &       0.009   &       0.007   &       0.005   &       0.005   \\
Adjusted            &    .0057113   &    .0073615   &    .0048834   &    .0025915   &    .0022453   \\
R2                  &        2560   &        2530   &        2439   &        1949   &        1949   \\
$^\dag$ p<0.10, * p<0.05, ** p<0.01, *** p<0.001
{com}. 
. {c )-}
{txt}
{com}. 
. 
. ********************************************************************************
. ***Main Table II:  Priming experiment, heterogenous treatment effects 
. ********************************************************************************
. 
. {c -(}
. eststo clear
. 
. **Model 1: Outgroup: Misinformation with Hindu interaction**
. reg feel_outgroup i.treat_ft##i.resp_hindu  $X_full , robust

{txt}Linear regression                               Number of obs     = {res}     2,560
                                                {txt}F(6, 2553)        =  {res}    15.10
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0344
                                                {txt}Root MSE          =    {res} 27.917

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}      feel_outgroup{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.treat_ft {c |}{col 21}{res}{space 2} -5.51147{col 33}{space 2} 2.691778{col 44}{space 1}   -2.05{col 53}{space 3}0.041{col 61}{space 4}-10.78976{col 74}{space 3}-.2331797
{txt}{space 19} {c |}
{space 9}resp_hindu {c |}
{space 13}Hindu  {c |}{col 21}{res}{space 2}-12.51949{col 33}{space 2} 2.677343{col 44}{space 1}   -4.68{col 53}{space 3}0.000{col 61}{space 4}-17.76948{col 74}{space 3}-7.269509
{txt}{space 19} {c |}
treat_ft#resp_hindu {c |}
{space 11}1#Hindu  {c |}{col 21}{res}{space 2} 1.471522{col 33}{space 2} 3.085196{col 44}{space 1}    0.48{col 53}{space 3}0.633{col 61}{space 4}-4.578218{col 74}{space 3} 7.521263
{txt}{space 19} {c |}
{space 16}age {c |}{col 21}{res}{space 2}  .445914{col 33}{space 2} 1.797878{col 44}{space 1}    0.25{col 53}{space 3}0.804{col 61}{space 4}-3.079533{col 74}{space 3} 3.971362
{txt}{space 13}female {c |}{col 21}{res}{space 2} 1.059791{col 33}{space 2} 1.114639{col 44}{space 1}    0.95{col 53}{space 3}0.342{col 61}{space 4}-1.125897{col 74}{space 3}  3.24548
{txt}{space 16}edu {c |}{col 21}{res}{space 2}-.5654398{col 33}{space 2} .8151027{col 44}{space 1}   -0.69{col 53}{space 3}0.488{col 61}{space 4}-2.163769{col 74}{space 3}  1.03289
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 64.73013{col 33}{space 2} 7.309653{col 44}{space 1}    8.86{col 53}{space 3}0.000{col 61}{space 4} 50.39668{col 74}{space 3} 79.06358
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store H1 
. /*
> **To generate Figure 3a, by religious identity 
> margins, at(treat_ft=(0 1) resp_hindu=(0 1) ) atmeans 
> marginsplot, recast(scatter) legend(order( 3 "non-Hindu" 4 "Hindu") pos(6) row(1)) xsize(5) title("By religious identity", size(medsmall)) legend(region(lwidth(none))) legend(region(lwidth(none))) ylabel(35(5)90) graphregion(color(white)) bgcolor(white) ytitle("Feelings towards outgroups") fxsize(38)
> graph save "Graph" "Temp1_RR.gph", replace 
> */
. 
.         
. 
. **Model 2: Outgroup: Misinformation with BJP interaction**
. reg feel_outgroup i.treat_ft##i.vote_bjp $X_full, robust

{txt}Linear regression                               Number of obs     = {res}     2,560
                                                {txt}F(6, 2553)        =  {res}    16.37
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0332
                                                {txt}Root MSE          =    {res} 27.935

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}    feel_outgroup{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}1.treat_ft {c |}{col 19}{res}{space 2}-4.009746{col 31}{space 2}   1.5281{col 42}{space 1}   -2.62{col 51}{space 3}0.009{col 59}{space 4}-7.006187{col 72}{space 3}-1.013305
{txt}{space 7}1.vote_bjp {c |}{col 19}{res}{space 2}-9.331961{col 31}{space 2} 2.665916{col 42}{space 1}   -3.50{col 51}{space 3}0.000{col 59}{space 4}-14.55954{col 72}{space 3}-4.104384
{txt}{space 17} {c |}
treat_ft#vote_bjp {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2}-2.279444{col 31}{space 2} 3.011964{col 42}{space 1}   -0.76{col 51}{space 3}0.449{col 59}{space 4}-8.185585{col 72}{space 3} 3.626696
{txt}{space 17} {c |}
{space 14}age {c |}{col 19}{res}{space 2}-1.702675{col 31}{space 2} 1.773949{col 42}{space 1}   -0.96{col 51}{space 3}0.337{col 59}{space 4}-5.181201{col 72}{space 3} 1.775851
{txt}{space 11}female {c |}{col 19}{res}{space 2} .2155446{col 31}{space 2} 1.115746{col 42}{space 1}    0.19{col 51}{space 3}0.847{col 59}{space 4}-1.972315{col 72}{space 3} 2.403404
{txt}{space 14}edu {c |}{col 19}{res}{space 2}-.9518894{col 31}{space 2} .8094996{col 42}{space 1}   -1.18{col 51}{space 3}0.240{col 59}{space 4}-2.539232{col 72}{space 3} .6354532
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 65.82648{col 31}{space 2} 7.112543{col 42}{space 1}    9.25{col 51}{space 3}0.000{col 59}{space 4} 51.87954{col 72}{space 3} 79.77342
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store H2
. /*
> **To generate Figure 3b, by partisanship 
> margins, at(treat_ft=(0 1) vote_bjp=(0 1) ) atmeans 
> marginsplot, recast(scatter) legend(order( 3 "non-BJP" 4 "BJP") pos(6) row(1)) xsize(5) title("By partisanship", size(medsmall)) legend(region(lwidth(none))) legend(region(lwidth(none))) ylabel(35(5)90) graphregion(color(white)) bgcolor(white) ytitle("Feelings towards outgroups") fxsize(29)
> graph save "Graph" "Temp2_RR.gph", replace 
> */
. 
. 
. 
. **Model 3: Outgroup: Misinformation with Hindu and BJP interaction**
. reg feel_outgroup i.treat_ft##i.vote_bjp##i.resp_hindu $X_full, robust

{txt}Linear regression                               Number of obs     = {res}     2,560
                                                {txt}F(10, 2549)       =  {res}    23.06
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0563
                                                {txt}Root MSE          =    {res} 27.621

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42}    Robust
{col 1}               feel_outgroup{col 30}{c |}      Coef.{col 42}   Std. Err.{col 54}      t{col 62}   P>|t|{col 70}     [95% Con{col 83}f. Interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}1.treat_ft {c |}{col 30}{res}{space 2}-5.358452{col 42}{space 2} 2.794306{col 53}{space 1}   -1.92{col 62}{space 3}0.055{col 70}{space 4}-10.83779{col 83}{space 3} .1208896
{txt}{space 18}1.vote_bjp {c |}{col 30}{res}{space 2} 12.48475{col 42}{space 2} 5.213227{col 53}{space 1}    2.39{col 62}{space 3}0.017{col 70}{space 4} 2.262162{col 83}{space 3} 22.70734
{txt}{space 28} {c |}
{space 11}treat_ft#vote_bjp {c |}
{space 24}1 1  {c |}{col 30}{res}{space 2} 2.781675{col 42}{space 2} 6.226052{col 53}{space 1}    0.45{col 62}{space 3}0.655{col 70}{space 4} -9.42696{col 83}{space 3} 14.99031
{txt}{space 28} {c |}
{space 18}resp_hindu {c |}
{space 22}Hindu  {c |}{col 30}{res}{space 2}-9.864111{col 42}{space 2} 2.894286{col 53}{space 1}   -3.41{col 62}{space 3}0.001{col 70}{space 4} -15.5395{col 83}{space 3} -4.18872
{txt}{space 28} {c |}
{space 9}treat_ft#resp_hindu {c |}
{space 20}1#Hindu  {c |}{col 30}{res}{space 2} 2.244937{col 42}{space 2} 3.321757{col 53}{space 1}    0.68{col 62}{space 3}0.499{col 70}{space 4} -4.26868{col 83}{space 3} 8.758553
{txt}{space 28} {c |}
{space 9}vote_bjp#resp_hindu {c |}
{space 20}1#Hindu  {c |}{col 30}{res}{space 2}-20.71546{col 42}{space 2} 5.921003{col 53}{space 1}   -3.50{col 62}{space 3}0.000{col 70}{space 4}-32.32593{col 83}{space 3}-9.104997
{txt}{space 28} {c |}
treat_ft#vote_bjp#resp_hindu {c |}
{space 18}1#1#Hindu  {c |}{col 30}{res}{space 2}-5.282956{col 42}{space 2} 6.993336{col 53}{space 1}   -0.76{col 62}{space 3}0.450{col 70}{space 4}-18.99615{col 83}{space 3} 8.430244
{txt}{space 28} {c |}
{space 25}age {c |}{col 30}{res}{space 2}  -.06187{col 42}{space 2} 1.776582{col 53}{space 1}   -0.03{col 62}{space 3}0.972{col 70}{space 4} -3.54556{col 83}{space 3}  3.42182
{txt}{space 22}female {c |}{col 30}{res}{space 2} .5629804{col 42}{space 2} 1.104072{col 53}{space 1}    0.51{col 62}{space 3}0.610{col 70}{space 4} -1.60199{col 83}{space 3} 2.727951
{txt}{space 25}edu {c |}{col 30}{res}{space 2}-.1119477{col 42}{space 2}  .812353{col 53}{space 1}   -0.14{col 62}{space 3}0.890{col 70}{space 4}-1.704887{col 83}{space 3} 1.480991
{txt}{space 23}_cons {c |}{col 30}{res}{space 2} 65.67182{col 42}{space 2} 7.257292{col 53}{space 1}    9.05{col 62}{space 3}0.000{col 70}{space 4} 51.44103{col 83}{space 3} 79.90261
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store H3
. /*
> **To generate Figure 3c, by religious identity and partisanship
> margins , at(treat_ft=(0 1) resp_hindu=(0 1) vote_bjp=(0 1) ) atmeans 
> marginsplot, recast(scatter) legend(order( 5 "non-Hindu, non-BJP" 6 "Hindu, non-BJP" 8 "Hindu, BJP") pos(6) row(1)) xsize(5) title("By religious identity and partisanship", size(medsmall)) legend(region(lwidth(none))) legend(region(lwidth(none))) ylabel(35(5)90) graphregion(color(white)) bgcolor(white) ytitle("Feelings towards outgroups") plot3opts(lc(none) mc(none)) ci3opts(col(none))  fxsize(33)
> graph save "Graph" "Temp3_RR.gph", replace 
> */
. 
. 
. **Model 4: Outgroup: Correction with Hindu interaction**
. reg feel_outgroup i.treat_idol_any##i.resp_hindu $X_full if treat_ft==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,949
                                                {txt}F(6, 1942)        =  {res}     9.68
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0298
                                                {txt}Root MSE          =    {res} 27.698

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}            feel_outgroup{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}treat_idol_any {c |}
{space 10}Any correction  {c |}{col 27}{res}{space 2}-.2085742{col 39}{space 2} 3.007186{col 50}{space 1}   -0.07{col 59}{space 3}0.945{col 67}{space 4}-6.106226{col 80}{space 3} 5.689078
{txt}{space 25} {c |}
{space 15}resp_hindu {c |}
{space 19}Hindu  {c |}{col 27}{res}{space 2} -9.41843{col 39}{space 2} 2.795236{col 50}{space 1}   -3.37{col 59}{space 3}0.001{col 67}{space 4}-14.90041{col 80}{space 3}-3.936451
{txt}{space 25} {c |}
treat_idol_any#resp_hindu {c |}
{space 4}Any correction#Hindu  {c |}{col 27}{res}{space 2}-2.263747{col 39}{space 2} 3.360977{col 50}{space 1}   -0.67{col 59}{space 3}0.501{col 67}{space 4}-8.855249{col 80}{space 3} 4.327754
{txt}{space 25} {c |}
{space 22}age {c |}{col 27}{res}{space 2}-.8282386{col 39}{space 2}  2.07313{col 50}{space 1}   -0.40{col 59}{space 3}0.690{col 67}{space 4}-4.894032{col 80}{space 3} 3.237555
{txt}{space 19}female {c |}{col 27}{res}{space 2} 1.842848{col 39}{space 2} 1.268664{col 50}{space 1}    1.45{col 59}{space 3}0.146{col 67}{space 4}-.6452386{col 80}{space 3} 4.330934
{txt}{space 22}edu {c |}{col 27}{res}{space 2}-.7030712{col 39}{space 2} .9257256{col 50}{space 1}   -0.76{col 59}{space 3}0.448{col 67}{space 4}-2.518592{col 80}{space 3} 1.112449
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}   63.638{col 39}{space 2} 8.337527{col 50}{space 1}    7.63{col 59}{space 3}0.000{col 67}{space 4} 47.28655{col 80}{space 3} 79.98944
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store H4
. 
. **Model 5: Outgroup: Correction with BJP interaction**
. reg feel_outgroup i.treat_idol_any##i.vote_bjp $X_full if treat_ft==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,949
                                                {txt}F(6, 1942)        =  {res}    12.71
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0338
                                                {txt}Root MSE          =    {res} 27.641

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}          feel_outgroup{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}treat_idol_any {c |}
{space 8}Any correction  {c |}{col 25}{res}{space 2}-1.710548{col 37}{space 2}  1.55853{col 48}{space 1}   -1.10{col 57}{space 3}0.273{col 65}{space 4}-4.767116{col 78}{space 3}  1.34602
{txt}{space 13}1.vote_bjp {c |}{col 25}{res}{space 2}-11.41103{col 37}{space 2}  2.46557{col 48}{space 1}   -4.63{col 57}{space 3}0.000{col 65}{space 4}-16.24647{col 78}{space 3}-6.575588
{txt}{space 23} {c |}
treat_idol_any#vote_bjp {c |}
{space 6}Any correction#1  {c |}{col 25}{res}{space 2} -.241587{col 37}{space 2} 2.997858{col 48}{space 1}   -0.08{col 57}{space 3}0.936{col 65}{space 4}-6.120946{col 78}{space 3} 5.637772
{txt}{space 23} {c |}
{space 20}age {c |}{col 25}{res}{space 2}-2.828136{col 37}{space 2} 2.041259{col 48}{space 1}   -1.39{col 57}{space 3}0.166{col 65}{space 4}-6.831425{col 78}{space 3} 1.175153
{txt}{space 17}female {c |}{col 25}{res}{space 2} 1.159705{col 37}{space 2} 1.266591{col 48}{space 1}    0.92{col 57}{space 3}0.360{col 65}{space 4}-1.324315{col 78}{space 3} 3.643726
{txt}{space 20}edu {c |}{col 25}{res}{space 2}-.9974991{col 37}{space 2} .9236125{col 48}{space 1}   -1.08{col 57}{space 3}0.280{col 65}{space 4}-2.808875{col 78}{space 3} .8138772
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} 66.60382{col 37}{space 2} 8.053007{col 48}{space 1}    8.27{col 57}{space 3}0.000{col 65}{space 4} 50.81038{col 78}{space 3} 82.39727
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store H5
. 
. **Model 6: Outgroup: Correction with BJP and Hindu interaction**
. reg feel_outgroup i.treat_idol_any##i.vote_bjp##i.resp_hindu $X_full if treat_ft==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,949
                                                {txt}F(10, 1938)       =  {res}    21.79
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0548
                                                {txt}Root MSE          =    {res} 27.367

{txt}{hline 35}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 36}{c |}{col 48}    Robust
{col 1}                     feel_outgroup{col 36}{c |}      Coef.{col 48}   Std. Err.{col 60}      t{col 68}   P>|t|{col 76}     [95% Con{col 89}f. Interval]
{hline 35}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}treat_idol_any {c |}
{space 19}Any correction  {c |}{col 36}{res}{space 2}-.5229335{col 48}{space 2} 3.098213{col 59}{space 1}   -0.17{col 68}{space 3}0.866{col 76}{space 4}-6.599114{col 89}{space 3} 5.553247
{txt}{space 24}1.vote_bjp {c |}{col 36}{res}{space 2} 7.925556{col 48}{space 2} 3.293031{col 59}{space 1}    2.41{col 68}{space 3}0.016{col 76}{space 4} 1.467301{col 89}{space 3} 14.38381
{txt}{space 34} {c |}
{space 11}treat_idol_any#vote_bjp {c |}
{space 17}Any correction#1  {c |}{col 36}{res}{space 2} 10.24516{col 48}{space 2} 5.414237{col 59}{space 1}    1.89{col 68}{space 3}0.059{col 76}{space 4}-.3731816{col 89}{space 3}  20.8635
{txt}{space 34} {c |}
{space 24}resp_hindu {c |}
{space 28}Hindu  {c |}{col 36}{res}{space 2}-6.337692{col 48}{space 2} 2.975669{col 59}{space 1}   -2.13{col 68}{space 3}0.033{col 76}{space 4}-12.17354{col 89}{space 3}-.5018435
{txt}{space 34} {c |}
{space 9}treat_idol_any#resp_hindu {c |}
{space 13}Any correction#Hindu  {c |}{col 36}{res}{space 2} -1.80478{col 48}{space 2} 3.578617{col 59}{space 1}   -0.50{col 68}{space 3}0.614{col 76}{space 4}-8.823123{col 89}{space 3} 5.213563
{txt}{space 34} {c |}
{space 15}vote_bjp#resp_hindu {c |}
{space 26}1#Hindu  {c |}{col 36}{res}{space 2}-18.48179{col 48}{space 2}   4.1859{col 59}{space 1}   -4.42{col 68}{space 3}0.000{col 76}{space 4}-26.69113{col 89}{space 3}-10.27245
{txt}{space 34} {c |}
treat_idol_any#vote_bjp#resp_hindu {c |}
{space 11}Any correction#1#Hindu  {c |}{col 36}{res}{space 2}-10.49106{col 48}{space 2} 6.267751{col 59}{space 1}   -1.67{col 68}{space 3}0.094{col 76}{space 4} -22.7833{col 89}{space 3} 1.801186
{txt}{space 34} {c |}
{space 31}age {c |}{col 36}{res}{space 2}-1.231242{col 48}{space 2}  2.04713{col 59}{space 1}   -0.60{col 68}{space 3}0.548{col 76}{space 4}-5.246052{col 89}{space 3} 2.783567
{txt}{space 28}female {c |}{col 36}{res}{space 2} 1.269635{col 48}{space 2} 1.253833{col 59}{space 1}    1.01{col 68}{space 3}0.311{col 76}{space 4}-1.189368{col 89}{space 3} 3.728638
{txt}{space 31}edu {c |}{col 36}{res}{space 2}-.1690557{col 48}{space 2}  .925454{col 59}{space 1}   -0.18{col 68}{space 3}0.855{col 76}{space 4}-1.984046{col 89}{space 3} 1.645934
{txt}{space 29}_cons {c |}{col 36}{res}{space 2} 64.53795{col 48}{space 2} 8.250406{col 59}{space 1}    7.82{col 68}{space 3}0.000{col 76}{space 4} 48.35735{col 89}{space 3} 80.71856
{txt}{hline 35}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store H6
. 
. **Generate Table II. Priming experiment, heterogenous treatment effects
. estout H1 H2 H3 H4 H5 H6 , style(tex)  cells( b(star fmt(%9.3f) label(Coef.)) se(label(Std. err.) par) )  stats(r2 r2_a N, fmt(%9.3f %9.0g) labels(R-squared Adjusted R2)) legend label collabels(none) varlabels(_cons Constant) starlevels($^\dag$ 0.10 * 0.05 ** 0.01 *** 0.001) keep(1.treat_idol_any 1.treat_ft 1.vote_bjp 1.resp_hindu 1.treat_ft#1.resp_hindu 1.treat_ft#1.vote_bjp 1.treat_idol_any#1.vote_bjp 1.treat_idol_any#1.resp_hindu 1.vote_bjp#1.resp_hindu 1.treat_idol_any#1.vote_bjp#1.resp_hindu 1.treat_ft#1.vote_bjp#1.resp_hindu age female edu _cons)
{res}
                    &          H1   &          H2   &          H3   &          H4   &          H5   &          H6   \\
Prime=1             &      -5.511*  &      -4.010** &  -5.358$^\dag$&               &               &               \\
                    &     (2.692)   &     (1.528)   &     (2.794)   &               &               &               \\
Hindu               &     -12.519***&               &      -9.864***&      -9.418***&               &      -6.338*  \\
                    &     (2.677)   &               &     (2.894)   &     (2.795)   &               &     (2.976)   \\
Prime=1 $\times$ Hindu&       1.472   &               &       2.245   &               &               &               \\
                    &     (3.085)   &               &     (3.322)   &               &               &               \\
Age                 &       0.446   &      -1.703   &      -0.062   &      -0.828   &      -2.828   &      -1.231   \\
                    &     (1.798)   &     (1.774)   &     (1.777)   &     (2.073)   &     (2.041)   &     (2.047)   \\
Gender              &       1.060   &       0.216   &       0.563   &       1.843   &       1.160   &       1.270   \\
                    &     (1.115)   &     (1.116)   &     (1.104)   &     (1.269)   &     (1.267)   &     (1.254)   \\
Education           &      -0.565   &      -0.952   &      -0.112   &      -0.703   &      -0.997   &      -0.169   \\
                    &     (0.815)   &     (0.809)   &     (0.812)   &     (0.926)   &     (0.924)   &     (0.925)   \\
BJP Voter=1         &               &      -9.332***&      12.485*  &               &     -11.411***&       7.926*  \\
                    &               &     (2.666)   &     (5.213)   &               &     (2.466)   &     (3.293)   \\
Prime=1 $\times$ BJP Voter=1&               &      -2.279   &       2.782   &               &               &               \\
                    &               &     (3.012)   &     (6.226)   &               &               &               \\
BJP Voter=1 $\times$ Hindu&               &               &     -20.715***&               &               &     -18.482***\\
                    &               &               &     (5.921)   &               &               &     (4.186)   \\
Prime=1 $\times$ BJP Voter=1 $\times$ Hindu&               &               &      -5.283   &               &               &               \\
                    &               &               &     (6.993)   &               &               &               \\
Any correction      &               &               &               &      -0.209   &      -1.711   &      -0.523   \\
                    &               &               &               &     (3.007)   &     (1.559)   &     (3.098)   \\
Any correction $\times$ Hindu&               &               &               &      -2.264   &               &      -1.805   \\
                    &               &               &               &     (3.361)   &               &     (3.579)   \\
Any correction $\times$ BJP Voter=1&               &               &               &               &      -0.242   &  10.245$^\dag$\\
                    &               &               &               &               &     (2.998)   &     (5.414)   \\
Any correction $\times$ BJP Voter=1 $\times$ Hindu&               &               &               &               &               & -10.491$^\dag$\\
                    &               &               &               &               &               &     (6.268)   \\
Constant            &      64.730***&      65.826***&      65.672***&      63.638***&      66.604***&      64.538***\\
                    &     (7.310)   &     (7.113)   &     (7.257)   &     (8.338)   &     (8.053)   &     (8.250)   \\
R-squared           &       0.034   &       0.033   &       0.056   &       0.030   &       0.034   &       0.055   \\
Adjusted            &    .0321289   &    .0309234   &    .0525654   &    .0267756   &    .0307666   &    .0498869   \\
R2                  &        2560   &        2560   &        2560   &        1949   &        1949   &        1949   \\
$^\dag$ p<0.10, * p<0.05, ** p<0.01, *** p<0.001
{com}. 
. 
. **To generate Figure 3. Exposure to misinformation and feelings towards outgroup
. /*
> graph combine Temp1_RR.gph Temp2_RR.gph Temp3_RR.gph , col(3)
> */
. 
. {c )-}
{txt}
{com}. 
. 
. 
. 
. ********************************************************************************
. ***Main Table III Mediation analysis 
. ********************************************************************************
. 
. {c -(}
. eststo clear
. eststo: medeff (regress misinformed treat_ft resp_hindu vote_bjp age female edu) (regress feel_outgroup treat_ft misinformed resp_hindu vote_bjp age female edu), mediate(misinformed) treat(treat_ft) sims(1000)       
Using 0 and 1 as treatment values

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     2,560
{txt}{hline 13}{c +}{hline 34}   F(6, 2553)      = {res}    99.07
{txt}       Model {c |} {res} 80.4722821         6   13.412047   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 345.621468     2,553  .135378562   {txt}R-squared       ={res}    0.1889
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1870
{txt}       Total {c |} {res}  426.09375     2,559  .166507913   {txt}Root MSE        =   {res} .36794

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} misinformed{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}treat_ft {c |}{col 14}{res}{space 2} .2694914{col 26}{space 2} .0170913{col 37}{space 1}   15.77{col 46}{space 3}0.000{col 54}{space 4} .2359773{col 67}{space 3} .3030056
{txt}{space 2}resp_hindu {c |}{col 14}{res}{space 2} .0831496{col 26}{space 2} .0182824{col 37}{space 1}    4.55{col 46}{space 3}0.000{col 54}{space 4} .0472998{col 67}{space 3} .1189995
{txt}{space 4}vote_bjp {c |}{col 14}{res}{space 2} .2563264{col 26}{space 2}  .018209{col 37}{space 1}   14.08{col 46}{space 3}0.000{col 54}{space 4} .2206205{col 67}{space 3} .2920323
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0075532{col 26}{space 2} .0241697{col 37}{space 1}    0.31{col 46}{space 3}0.755{col 54}{space 4}-.0398411{col 67}{space 3} .0549475
{txt}{space 6}female {c |}{col 14}{res}{space 2}-.0121543{col 26}{space 2} .0147457{col 37}{space 1}   -0.82{col 46}{space 3}0.410{col 54}{space 4} -.041069{col 67}{space 3} .0167605
{txt}{space 9}edu {c |}{col 14}{res}{space 2} .0519556{col 26}{space 2} .0111872{col 37}{space 1}    4.64{col 46}{space 3}0.000{col 54}{space 4} .0300186{col 67}{space 3} .0738925
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.2004127{col 26}{space 2} .0954148{col 37}{space 1}   -2.10{col 46}{space 3}0.036{col 54}{space 4}-.3875109{col 67}{space 3}-.0133145
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     2,560
{txt}{hline 13}{c +}{hline 34}   F(7, 2552)      = {res}    19.78
{txt}       Model {c |} {res} 106055.138         7   15150.734   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}    1954592     2,552  765.905956   {txt}R-squared       ={res}    0.0515
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0489
{txt}       Total {c |} {res} 2060647.14     2,559  805.254841   {txt}Root MSE        =   {res} 27.675

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}feel_outgr~p{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}treat_ft {c |}{col 14}{res}{space 2}-3.502886{col 26}{space 2} 1.346686{col 37}{space 1}   -2.60{col 46}{space 3}0.009{col 54}{space 4}-6.143594{col 67}{space 3}-.8621774
{txt}{space 1}misinformed {c |}{col 14}{res}{space 2}-2.631906{col 26}{space 2} 1.488632{col 37}{space 1}   -1.77{col 46}{space 3}0.077{col 54}{space 4}-5.550956{col 67}{space 3} .2871436
{txt}{space 2}resp_hindu {c |}{col 14}{res}{space 2}-9.163707{col 26}{space 2} 1.380696{col 37}{space 1}   -6.64{col 46}{space 3}0.000{col 54}{space 4}-11.87111{col 67}{space 3}-6.456308
{txt}{space 4}vote_bjp {c |}{col 14}{res}{space 2}-8.310196{col 26}{space 2} 1.421777{col 37}{space 1}   -5.84{col 46}{space 3}0.000{col 54}{space 4}-11.09815{col 67}{space 3}-5.522242
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0351756{col 26}{space 2} 1.817996{col 37}{space 1}    0.02{col 46}{space 3}0.985{col 54}{space 4}-3.529721{col 67}{space 3} 3.600072
{txt}{space 6}female {c |}{col 14}{res}{space 2} .5205606{col 26}{space 2} 1.109267{col 37}{space 1}    0.47{col 46}{space 3}0.639{col 54}{space 4}-1.654594{col 67}{space 3} 2.695715
{txt}{space 9}edu {c |}{col 14}{res}{space 2} .0737297{col 26}{space 2} .8450104{col 37}{space 1}    0.09{col 46}{space 3}0.930{col 54}{space 4}-1.583246{col 67}{space 3} 1.730706
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 64.83672{col 26}{space 2} 7.182957{col 37}{space 1}    9.03{col 46}{space 3}0.000{col 54}{space 4}  50.7517{col 67}{space 3} 78.92173
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}{hline 25}{c TT}{hline 52}
        Effect           {c |}  Mean           [95% Conf. Interval]
{hline 25}{c +}{hline 52}
{res}        ACME1            {c |} -.6945022     -1.503585      .0588918
        ACME0            {c |} -.6945022     -1.503585      .0588918
        Direct Effect 1  {c |} -3.530652      -5.99835     -.9857746
        Direct Effect 0  {c |} -3.530652      -5.99835     -.9857746
        Total Effect     {c |} -4.225155     -6.723991     -1.481726
{txt}{hline 25}{c BT}{hline 52}
({res}est1{txt} stored)
{com}. {c )-}
{txt}
{com}. 
. 
. 
. 
. 
. 
. ********************************************************************************
. ********************************************************************************
. ***APPENDIX 
. ********************************************************************************
. ********************************************************************************
. 
. 
. 
. 
. ********************************************************************************
. ***Appendix D. Balance Test 
. ********************************************************************************
. {c -(}
. gen     treatment = 0
. replace treatment = 1 if treat_ft==1 & treat_idol_correct==0 & treat_idol_priest==0
{txt}(705 real changes made)
{com}. replace treatment = 2 if treat_idol_correct==1
{txt}(993 real changes made)
{com}. replace treatment = 3 if treat_idol_priest==1
{txt}(953 real changes made)
{com}. eststo clear
. 
. mlogit  treatment resp_* age income vote_bjp  female urban news socialmedia, base(0) 

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3385.4851}  
Iteration 1:{space 3}log likelihood = {res:-3365.9418}  
Iteration 2:{space 3}log likelihood = {res:-3365.7761}  
Iteration 3:{space 3}log likelihood = {res:-3365.7758}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}     2,639
{txt}{col 49}LR chi2({res}36{txt}){col 67}= {res}     39.42
{txt}{col 49}Prob > chi2{col 67}= {res}    0.3196
{txt}Log likelihood = {res}-3365.7758{txt}{col 49}Pseudo R2{col 67}= {res}    0.0058

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   treatment{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0           {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1            {txt}{c |}
{space 2}resp_hindu {c |}{col 14}{res}{space 2} .0350895{col 26}{space 2} .5903632{col 37}{space 1}    0.06{col 46}{space 3}0.953{col 54}{space 4}-1.122001{col 67}{space 3}  1.19218
{txt}{space 1}resp_muslim {c |}{col 14}{res}{space 2}-.2857813{col 26}{space 2} .6141486{col 37}{space 1}   -0.47{col 46}{space 3}0.642{col 54}{space 4} -1.48949{col 67}{space 3} .9179278
{txt}{space 5}resp_sc {c |}{col 14}{res}{space 2} -.174405{col 26}{space 2} .2185351{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4} -.602726{col 67}{space 3} .2539159
{txt}{space 5}resp_st {c |}{col 14}{res}{space 2} .5140491{col 26}{space 2}  .445536{col 37}{space 1}    1.15{col 46}{space 3}0.249{col 54}{space 4}-.3591853{col 67}{space 3} 1.387284
{txt}{space 4}resp_obc {c |}{col 14}{res}{space 2} .2177284{col 26}{space 2} .1963606{col 37}{space 1}    1.11{col 46}{space 3}0.268{col 54}{space 4}-.1671313{col 67}{space 3} .6025881
{txt}{space 9}age {c |}{col 14}{res}{space 2}-.3882684{col 26}{space 2} .2720356{col 37}{space 1}   -1.43{col 46}{space 3}0.154{col 54}{space 4}-.9214485{col 67}{space 3} .1449116
{txt}{space 6}income {c |}{col 14}{res}{space 2}-.0064624{col 26}{space 2} .1579498{col 37}{space 1}   -0.04{col 46}{space 3}0.967{col 54}{space 4}-.3160384{col 67}{space 3} .3031135
{txt}{space 4}vote_bjp {c |}{col 14}{res}{space 2} .1228745{col 26}{space 2} .2047446{col 37}{space 1}    0.60{col 46}{space 3}0.548{col 54}{space 4}-.2784176{col 67}{space 3} .5241665
{txt}{space 6}female {c |}{col 14}{res}{space 2}-.2437145{col 26}{space 2} .1627359{col 37}{space 1}   -1.50{col 46}{space 3}0.134{col 54}{space 4}-.5626709{col 67}{space 3}  .075242
{txt}{space 7}urban {c |}{col 14}{res}{space 2}-.3251204{col 26}{space 2} .1772769{col 37}{space 1}   -1.83{col 46}{space 3}0.067{col 54}{space 4}-.6725766{col 67}{space 3} .0223359
{txt}{space 8}news {c |}{col 14}{res}{space 2}-.1866222{col 26}{space 2}  .178388{col 37}{space 1}   -1.05{col 46}{space 3}0.295{col 54}{space 4}-.5362562{col 67}{space 3} .1630118
{txt}{space 1}socialmedia {c |}{col 14}{res}{space 2} .0090768{col 26}{space 2} .1949776{col 37}{space 1}    0.05{col 46}{space 3}0.963{col 54}{space 4}-.3730723{col 67}{space 3} .3912259
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2.745298{col 26}{space 2} 1.848872{col 37}{space 1}    1.48{col 46}{space 3}0.138{col 54}{space 4} -.878424{col 67}{space 3}  6.36902
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 2}resp_hindu {c |}{col 14}{res}{space 2}-.0299197{col 26}{space 2} .5650078{col 37}{space 1}   -0.05{col 46}{space 3}0.958{col 54}{space 4}-1.137315{col 67}{space 3} 1.077475
{txt}{space 1}resp_muslim {c |}{col 14}{res}{space 2}-.0248809{col 26}{space 2} .5868207{col 37}{space 1}   -0.04{col 46}{space 3}0.966{col 54}{space 4}-1.175028{col 67}{space 3} 1.125267
{txt}{space 5}resp_sc {c |}{col 14}{res}{space 2}-.1390847{col 26}{space 2} .2086636{col 37}{space 1}   -0.67{col 46}{space 3}0.505{col 54}{space 4}-.5480579{col 67}{space 3} .2698885
{txt}{space 5}resp_st {c |}{col 14}{res}{space 2} .4145639{col 26}{space 2} .4360137{col 37}{space 1}    0.95{col 46}{space 3}0.342{col 54}{space 4}-.4400073{col 67}{space 3} 1.269135
{txt}{space 4}resp_obc {c |}{col 14}{res}{space 2} .1029649{col 26}{space 2} .1878394{col 37}{space 1}    0.55{col 46}{space 3}0.584{col 54}{space 4}-.2651936{col 67}{space 3} .4711234
{txt}{space 9}age {c |}{col 14}{res}{space 2}-.0998308{col 26}{space 2} .2612384{col 37}{space 1}   -0.38{col 46}{space 3}0.702{col 54}{space 4}-.6118487{col 67}{space 3} .4121871
{txt}{space 6}income {c |}{col 14}{res}{space 2}-.0374961{col 26}{space 2} .1507061{col 37}{space 1}   -0.25{col 46}{space 3}0.804{col 54}{space 4}-.3328746{col 67}{space 3} .2578824
{txt}{space 4}vote_bjp {c |}{col 14}{res}{space 2} .1322885{col 26}{space 2} .1977319{col 37}{space 1}    0.67{col 46}{space 3}0.503{col 54}{space 4} -.255259{col 67}{space 3}  .519836
{txt}{space 6}female {c |}{col 14}{res}{space 2}-.1856098{col 26}{space 2} .1560865{col 37}{space 1}   -1.19{col 46}{space 3}0.234{col 54}{space 4}-.4915337{col 67}{space 3} .1203141
{txt}{space 7}urban {c |}{col 14}{res}{space 2}-.4799416{col 26}{space 2} .1699348{col 37}{space 1}   -2.82{col 46}{space 3}0.005{col 54}{space 4}-.8130077{col 67}{space 3}-.1468755
{txt}{space 8}news {c |}{col 14}{res}{space 2}-.1071549{col 26}{space 2} .1709379{col 37}{space 1}   -0.63{col 46}{space 3}0.531{col 54}{space 4}-.4421871{col 67}{space 3} .2278773
{txt}{space 1}socialmedia {c |}{col 14}{res}{space 2}-.0053389{col 26}{space 2} .1868239{col 37}{space 1}   -0.03{col 46}{space 3}0.977{col 54}{space 4} -.371507{col 67}{space 3} .3608292
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2.392292{col 26}{space 2} 1.769897{col 37}{space 1}    1.35{col 46}{space 3}0.176{col 54}{space 4}-1.076642{col 67}{space 3} 5.861226
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 2}resp_hindu {c |}{col 14}{res}{space 2} .1308693{col 26}{space 2} .5750325{col 37}{space 1}    0.23{col 46}{space 3}0.820{col 54}{space 4}-.9961737{col 67}{space 3} 1.257912
{txt}{space 1}resp_muslim {c |}{col 14}{res}{space 2}-.1288427{col 26}{space 2} .5973248{col 37}{space 1}   -0.22{col 46}{space 3}0.829{col 54}{space 4}-1.299578{col 67}{space 3} 1.041892
{txt}{space 5}resp_sc {c |}{col 14}{res}{space 2}-.2737025{col 26}{space 2}  .209675{col 37}{space 1}   -1.31{col 46}{space 3}0.192{col 54}{space 4} -.684658{col 67}{space 3} .1372531
{txt}{space 5}resp_st {c |}{col 14}{res}{space 2} .5112802{col 26}{space 2}  .434282{col 37}{space 1}    1.18{col 46}{space 3}0.239{col 54}{space 4}-.3398968{col 67}{space 3} 1.362457
{txt}{space 4}resp_obc {c |}{col 14}{res}{space 2} .1491856{col 26}{space 2} .1882133{col 37}{space 1}    0.79{col 46}{space 3}0.428{col 54}{space 4}-.2197058{col 67}{space 3} .5180769
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0222967{col 26}{space 2} .2623757{col 37}{space 1}    0.08{col 46}{space 3}0.932{col 54}{space 4}-.4919501{col 67}{space 3} .5365436
{txt}{space 6}income {c |}{col 14}{res}{space 2}-.1069249{col 26}{space 2} .1516795{col 37}{space 1}   -0.70{col 46}{space 3}0.481{col 54}{space 4}-.4042112{col 67}{space 3} .1903615
{txt}{space 4}vote_bjp {c |}{col 14}{res}{space 2} .1715961{col 26}{space 2}  .197789{col 37}{space 1}    0.87{col 46}{space 3}0.386{col 54}{space 4}-.2160631{col 67}{space 3} .5592553
{txt}{space 6}female {c |}{col 14}{res}{space 2}-.2490061{col 26}{space 2} .1567135{col 37}{space 1}   -1.59{col 46}{space 3}0.112{col 54}{space 4}-.5561589{col 67}{space 3} .0581467
{txt}{space 7}urban {c |}{col 14}{res}{space 2}-.2410992{col 26}{space 2} .1691518{col 37}{space 1}   -1.43{col 46}{space 3}0.154{col 54}{space 4}-.5726306{col 67}{space 3} .0904321
{txt}{space 8}news {c |}{col 14}{res}{space 2}-.1045021{col 26}{space 2} .1718507{col 37}{space 1}   -0.61{col 46}{space 3}0.543{col 54}{space 4}-.4413234{col 67}{space 3} .2323191
{txt}{space 1}socialmedia {c |}{col 14}{res}{space 2}-.0109286{col 26}{space 2} .1877935{col 37}{space 1}   -0.06{col 46}{space 3}0.954{col 54}{space 4} -.378997{col 67}{space 3} .3571399
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2.432648{col 26}{space 2} 1.781572{col 37}{space 1}    1.37{col 46}{space 3}0.172{col 54}{space 4}-1.059169{col 67}{space 3} 5.924465
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{com}. est store balance
. 
. /*
> esttab balance using balance_idol_RR.tex,  ///
> replace scalars("ll Log lik." "chi2 Chi-squared") se label  b(%9.3f) t(%9.3f) nonumber booktabs ///
> title("Covariate balance." \label{c -(}tab:balance{c )-}) ///
> mtitle("M1") ///
> eqlabels(none) ///
> mgroups("Treatment Assignment", pattern(1) ///
> prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})   ///
> span erepeat(\cmidrule(lr){c -(}@span{c )-}))         ///
> alignment(cr) page(dcolumn) nonumber compress
> */
. drop treatment 
. {c )-}
{txt}
{com}. 
. 
. 
. ********************************************************************************
. ***Appendix F. Replicating Table I: Priming Experiment 
. ********************************************************************************
. {c -(}
. 
. 
. *** Table F.1. Priming experiment, average treatment effects (baseline models)
. {c -(}
. 
. eststo clear
. **Model 1:  Feelings Towards Religious Outgroup**
. reg feel_outgroup i.treat_ft , robust

{txt}Linear regression                               Number of obs     = {res}     2,562
                                                {txt}F(1, 2560)        =  {res}    12.46
                                                {txt}Prob > F          = {res}    0.0004
                                                {txt}R-squared         = {res}    0.0050
                                                {txt}Root MSE          =    {res} 28.315

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}feel_outgr~p{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.treat_ft {c |}{col 14}{res}{space 2}-4.714231{col 26}{space 2} 1.335786{col 37}{space 1}   -3.53{col 46}{space 3}0.000{col 54}{space 4}-7.333562{col 67}{space 3}  -2.0949
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 56.69885{col 26}{space 2} 1.174759{col 37}{space 1}   48.26{col 46}{space 3}0.000{col 54}{space 4} 54.39528{col 67}{space 3} 59.00243
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store   M1
. 
. **Model 2:  Feelings Towards Religious Ingroup**
. reg feel_ingroup i.treat_ft  , robust

{txt}Linear regression                               Number of obs     = {res}     2,532
                                                {txt}F(1, 2530)        =  {res}     2.40
                                                {txt}Prob > F          = {res}    0.1211
                                                {txt}R-squared         = {res}    0.0010
                                                {txt}Root MSE          =    {res} 17.859

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}feel_ingroup{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.treat_ft {c |}{col 14}{res}{space 2} 1.350725{col 26}{space 2} .8711544{col 37}{space 1}    1.55{col 46}{space 3}0.121{col 54}{space 4}-.3575233{col 67}{space 3} 3.058974
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 83.36438{col 26}{space 2}  .775174{col 37}{space 1}  107.54{col 46}{space 3}0.000{col 54}{space 4} 81.84434{col 67}{space 3} 84.88442
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store M2
. 
. **Model 3: Polarization, Feelings Difference Ingroup minus Outgroup**
. reg feel_inminusout i.treat_ft  , robust

{txt}Linear regression                               Number of obs     = {res}     2,441
                                                {txt}F(1, 2439)        =  {res}    11.21
                                                {txt}Prob > F          = {res}    0.0008
                                                {txt}R-squared         = {res}    0.0047
                                                {txt}Root MSE          =    {res} 33.152

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}feel_inmin~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.treat_ft {c |}{col 14}{res}{space 2}  5.31246{col 26}{space 2} 1.587003{col 37}{space 1}    3.35{col 46}{space 3}0.001{col 54}{space 4} 2.200448{col 67}{space 3} 8.424472
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 24.78291{col 26}{space 2} 1.389845{col 37}{space 1}   17.83{col 46}{space 3}0.000{col 54}{space 4} 22.05751{col 67}{space 3}  27.5083
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store M3
. 
. estout M1 M2 M3, style(tex)  cells( b(star fmt(%9.3f) label(Coef.)) se(label(Std. err.) par) )  stats(r2 r2_a N, fmt(%9.3f %9.0g) labels(R-squared Adjusted R2)) legend label collabels(none) varlabels(_cons Constant) starlevels($^\dag$ 0.10 * 0.05 ** 0.01 *** 0.001) 
{res}
                    &          M1   &          M2   &          M3   \\
Prime=0             &       0.000   &       0.000   &       0.000   \\
                    &         (.)   &         (.)   &         (.)   \\
Prime=1             &      -4.714***&       1.351   &       5.312***\\
                    &     (1.336)   &     (0.871)   &     (1.587)   \\
Constant            &      56.699***&      83.364***&      24.783***\\
                    &     (1.175)   &     (0.775)   &     (1.390)   \\
R-squared           &       0.005   &       0.001   &       0.005   \\
Adjusted            &    .0046243   &    .0006533   &    .0042531   \\
R2                  &        2562   &        2532   &        2441   \\
$^\dag$ p<0.10, * p<0.05, ** p<0.01, *** p<0.001
{com}. 
. {c )-}
. 
. 
. 
. *** Table F.2. Priming experiment, with alternative DV: New neighbor
. {c -(}
. eststo clear
. 
. **Model 1:  Feelings Towards Religious Outgroup**
. reg feel_newoutgroup i.treat_ft $X_full, robust

{txt}Linear regression                               Number of obs     = {res}     2,567
                                                {txt}F(4, 2562)        =  {res}     1.97
                                                {txt}Prob > F          = {res}    0.0967
                                                {txt}R-squared         = {res}    0.0032
                                                {txt}Root MSE          =    {res} 27.919

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}feel_newou~p{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.treat_ft {c |}{col 14}{res}{space 2} -3.53943{col 26}{space 2}    1.337{col 37}{space 1}   -2.65{col 46}{space 3}0.008{col 54}{space 4}-6.161141{col 67}{space 3}-.9177184
{txt}{space 9}age {c |}{col 14}{res}{space 2}-.8829902{col 26}{space 2} 1.770297{col 37}{space 1}   -0.50{col 46}{space 3}0.618{col 54}{space 4}-4.354349{col 67}{space 3} 2.588369
{txt}{space 6}female {c |}{col 14}{res}{space 2}  .766794{col 26}{space 2} 1.113347{col 37}{space 1}    0.69{col 46}{space 3}0.491{col 54}{space 4}-1.416357{col 67}{space 3} 2.949945
{txt}{space 9}edu {c |}{col 14}{res}{space 2}-.5089724{col 26}{space 2} .8145553{col 37}{space 1}   -0.62{col 46}{space 3}0.532{col 54}{space 4}-2.106226{col 67}{space 3} 1.088281
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 57.27607{col 26}{space 2} 7.091744{col 37}{space 1}    8.08{col 46}{space 3}0.000{col 54}{space 4} 43.36994{col 67}{space 3}  71.1822
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store   M1
. 
. **Model 2:  Feelings Towards Religious Ingroup**
. reg feel_newingroup i.treat_ft  $X_full, robust

{txt}Linear regression                               Number of obs     = {res}     2,478
                                                {txt}F(4, 2473)        =  {res}     6.38
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0099
                                                {txt}Root MSE          =    {res} 18.153

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}feel_newin~p{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.treat_ft {c |}{col 14}{res}{space 2} .8934801{col 26}{space 2} .8851543{col 37}{space 1}    1.01{col 46}{space 3}0.313{col 54}{space 4}-.8422401{col 67}{space 3}   2.6292
{txt}{space 9}age {c |}{col 14}{res}{space 2}-3.385216{col 26}{space 2} 1.211039{col 37}{space 1}   -2.80{col 46}{space 3}0.005{col 54}{space 4}-5.759971{col 67}{space 3}-1.010461
{txt}{space 6}female {c |}{col 14}{res}{space 2}-2.060162{col 26}{space 2} .7371235{col 37}{space 1}   -2.79{col 46}{space 3}0.005{col 54}{space 4}-3.505605{col 67}{space 3}-.6147191
{txt}{space 9}edu {c |}{col 14}{res}{space 2}-2.305035{col 26}{space 2} .5351947{col 37}{space 1}   -4.31{col 46}{space 3}0.000{col 54}{space 4}-3.354511{col 67}{space 3}-1.255559
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 98.26757{col 26}{space 2} 4.803716{col 37}{space 1}   20.46{col 46}{space 3}0.000{col 54}{space 4} 88.84785{col 67}{space 3} 107.6873
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store M2
. 
. **Model 3: Polarization, Feelings Difference Ingroup minus Outgroup**
. reg feel_new_inminusout i.treat_ft  $X_full, robust

{txt}Linear regression                               Number of obs     = {res}     2,883
                                                {txt}F(4, 2878)        =  {res}     4.45
                                                {txt}Prob > F          = {res}    0.0014
                                                {txt}R-squared         = {res}    0.0057
                                                {txt}Root MSE          =    {res} 33.584

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}feel_new_i~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.treat_ft {c |}{col 14}{res}{space 2} 4.214818{col 26}{space 2} 1.436866{col 37}{space 1}    2.93{col 46}{space 3}0.003{col 54}{space 4} 1.397427{col 67}{space 3} 7.032209
{txt}{space 9}age {c |}{col 14}{res}{space 2}-2.333893{col 26}{space 2} 1.989478{col 37}{space 1}   -1.17{col 46}{space 3}0.241{col 54}{space 4}-6.234838{col 67}{space 3} 1.567052
{txt}{space 6}female {c |}{col 14}{res}{space 2}-2.815593{col 26}{space 2} 1.271787{col 37}{space 1}   -2.21{col 46}{space 3}0.027{col 54}{space 4}-5.309298{col 67}{space 3}-.3218879
{txt}{space 9}edu {c |}{col 14}{res}{space 2}-1.991941{col 26}{space 2} .9047437{col 37}{space 1}   -2.20{col 46}{space 3}0.028{col 54}{space 4}-3.765953{col 67}{space 3}-.2179304
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 35.62714{col 26}{space 2} 8.010213{col 37}{space 1}    4.45{col 46}{space 3}0.000{col 54}{space 4} 19.92081{col 67}{space 3} 51.33347
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store M3
. 
. **Model 4: Outgroup: Misinformation with Hindu interaction**
. eststo: reg feel_newoutgroup i.treat_ft##i.resp_hindu  $X_full , robust

{txt}Linear regression                               Number of obs     = {res}     2,567
                                                {txt}F(6, 2560)        =  {res}    14.42
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0323
                                                {txt}Root MSE          =    {res}  27.52

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}   feel_newoutgroup{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.treat_ft {c |}{col 21}{res}{space 2}-3.933256{col 33}{space 2} 2.637425{col 44}{space 1}   -1.49{col 53}{space 3}0.136{col 61}{space 4}-9.104959{col 74}{space 3} 1.238448
{txt}{space 19} {c |}
{space 9}resp_hindu {c |}
{space 13}Hindu  {c |}{col 21}{res}{space 2}-12.33218{col 33}{space 2} 2.647161{col 44}{space 1}   -4.66{col 53}{space 3}0.000{col 61}{space 4}-17.52297{col 74}{space 3}-7.141387
{txt}{space 19} {c |}
treat_ft#resp_hindu {c |}
{space 11}1#Hindu  {c |}{col 21}{res}{space 2} .9485773{col 33}{space 2} 3.040366{col 44}{space 1}    0.31{col 53}{space 3}0.755{col 61}{space 4}-5.013249{col 74}{space 3} 6.910404
{txt}{space 19} {c |}
{space 16}age {c |}{col 21}{res}{space 2}  1.32031{col 33}{space 2} 1.772562{col 44}{space 1}    0.74{col 53}{space 3}0.456{col 61}{space 4}-2.155491{col 74}{space 3}  4.79611
{txt}{space 13}female {c |}{col 21}{res}{space 2} 1.058079{col 33}{space 2} 1.095831{col 44}{space 1}    0.97{col 53}{space 3}0.334{col 61}{space 4}-1.090727{col 74}{space 3} 3.206886
{txt}{space 16}edu {c |}{col 21}{res}{space 2}  .801909{col 33}{space 2} .8102298{col 44}{space 1}    0.99{col 53}{space 3}0.322{col 61}{space 4}-.7868634{col 74}{space 3} 2.390681
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 56.91731{col 33}{space 2} 7.249417{col 44}{space 1}    7.85{col 53}{space 3}0.000{col 61}{space 4} 42.70199{col 74}{space 3} 71.13263
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)
{com}. est store M4 
. 
. **Model 5: Outgroup: Misinformation with BJP interaction**
. reg feel_newoutgroup i.treat_ft##i.vote_bjp $X_full, robust

{txt}Linear regression                               Number of obs     = {res}     2,567
                                                {txt}F(6, 2560)        =  {res}     6.93
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0157
                                                {txt}Root MSE          =    {res} 27.754

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1} feel_newoutgroup{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}1.treat_ft {c |}{col 19}{res}{space 2}-2.938405{col 31}{space 2} 1.516818{col 42}{space 1}   -1.94{col 51}{space 3}0.053{col 59}{space 4} -5.91272{col 72}{space 3} .0359112
{txt}{space 7}1.vote_bjp {c |}{col 19}{res}{space 2}-6.102193{col 31}{space 2} 2.788481{col 42}{space 1}   -2.19{col 51}{space 3}0.029{col 59}{space 4} -11.5701{col 72}{space 3}-.6342862
{txt}{space 17} {c |}
treat_ft#vote_bjp {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2}-1.934046{col 31}{space 2} 3.144886{col 42}{space 1}   -0.61{col 51}{space 3}0.539{col 59}{space 4}-8.100825{col 72}{space 3} 4.232734
{txt}{space 17} {c |}
{space 14}age {c |}{col 19}{res}{space 2}-.9911653{col 31}{space 2} 1.758377{col 42}{space 1}   -0.56{col 51}{space 3}0.573{col 59}{space 4}-4.439152{col 72}{space 3} 2.456821
{txt}{space 11}female {c |}{col 19}{res}{space 2} .4072053{col 31}{space 2} 1.106438{col 42}{space 1}    0.37{col 51}{space 3}0.713{col 59}{space 4}  -1.7624{col 72}{space 3}  2.57681
{txt}{space 14}edu {c |}{col 19}{res}{space 2} .0826925{col 31}{space 2} .8117396{col 42}{space 1}    0.10{col 51}{space 3}0.919{col 59}{space 4} -1.50904{col 72}{space 3} 1.674425
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 58.33849{col 31}{space 2} 7.096752{col 42}{space 1}    8.22{col 51}{space 3}0.000{col 59}{space 4} 44.42254{col 72}{space 3} 72.25445
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store M5
. 
. ** Model 6: Outgroup: Misinformation with BJP and Hindu interaction**
. reg feel_newoutgroup i.treat_ft##i.vote_bjp##i.resp_hindu $X_full, robust

{txt}Linear regression                               Number of obs     = {res}     2,567
                                                {txt}F(10, 2556)       =  {res}    25.17
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0435
                                                {txt}Root MSE          =    {res} 27.382

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42}    Robust
{col 1}            feel_newoutgroup{col 30}{c |}      Coef.{col 42}   Std. Err.{col 54}      t{col 62}   P>|t|{col 70}     [95% Con{col 83}f. Interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}1.treat_ft {c |}{col 30}{res}{space 2}-3.866118{col 42}{space 2} 2.727992{col 53}{space 1}   -1.42{col 62}{space 3}0.157{col 70}{space 4}-9.215417{col 83}{space 3} 1.483181
{txt}{space 18}1.vote_bjp {c |}{col 30}{res}{space 2} 14.03099{col 42}{space 2}   6.5089{col 53}{space 1}    2.16{col 62}{space 3}0.031{col 70}{space 4} 1.267739{col 83}{space 3} 26.79425
{txt}{space 28} {c |}
{space 11}treat_ft#vote_bjp {c |}
{space 24}1 1  {c |}{col 30}{res}{space 2} 4.019324{col 42}{space 2} 6.985771{col 53}{space 1}    0.58{col 62}{space 3}0.565{col 70}{space 4}-9.679023{col 83}{space 3} 17.71767
{txt}{space 28} {c |}
{space 18}resp_hindu {c |}
{space 22}Hindu  {c |}{col 30}{res}{space 2}-10.46626{col 42}{space 2} 2.852361{col 53}{space 1}   -3.67{col 62}{space 3}0.000{col 70}{space 4}-16.05943{col 83}{space 3}-4.873086
{txt}{space 28} {c |}
{space 9}treat_ft#resp_hindu {c |}
{space 20}1#Hindu  {c |}{col 30}{res}{space 2} 1.595043{col 42}{space 2} 3.259789{col 53}{space 1}    0.49{col 62}{space 3}0.625{col 70}{space 4}-4.797052{col 83}{space 3} 7.987139
{txt}{space 28} {c |}
{space 9}vote_bjp#resp_hindu {c |}
{space 20}1#Hindu  {c |}{col 30}{res}{space 2}-18.82858{col 42}{space 2} 7.150833{col 53}{space 1}   -2.63{col 62}{space 3}0.009{col 70}{space 4}-32.85059{col 83}{space 3} -4.80656
{txt}{space 28} {c |}
treat_ft#vote_bjp#resp_hindu {c |}
{space 18}1#1#Hindu  {c |}{col 30}{res}{space 2}-6.110341{col 42}{space 2} 7.739212{col 53}{space 1}   -0.79{col 62}{space 3}0.430{col 70}{space 4} -21.2861{col 83}{space 3} 9.065422
{txt}{space 28} {c |}
{space 25}age {c |}{col 30}{res}{space 2} .9544675{col 42}{space 2} 1.768362{col 53}{space 1}    0.54{col 62}{space 3}0.589{col 70}{space 4}  -2.5131{col 83}{space 3} 4.422035
{txt}{space 22}female {c |}{col 30}{res}{space 2} .7868581{col 42}{space 2}  1.09118{col 53}{space 1}    0.72{col 62}{space 3}0.471{col 70}{space 4}-1.352828{col 83}{space 3} 2.926544
{txt}{space 25}edu {c |}{col 30}{res}{space 2} 1.020897{col 42}{space 2} .8083404{col 53}{space 1}    1.26{col 62}{space 3}0.207{col 70}{space 4}-.5641721{col 83}{space 3} 2.605965
{txt}{space 23}_cons {c |}{col 30}{res}{space 2}  57.4339{col 42}{space 2} 7.249459{col 53}{space 1}    7.92{col 62}{space 3}0.000{col 70}{space 4} 43.21849{col 83}{space 3} 71.64931
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store M6
. 
. estout M1 M2 M3 M4 M5 M6  , style(tex)  cells( b(star fmt(%9.3f) label(Coef.)) se(label(Std. err.) par) )  stats(r2 r2_a N, fmt(%9.3f %9.0g) labels(R-squared Adjusted R2)) legend label collabels(none) varlabels(_cons Constant) starlevels($^\dag$ 0.10 * 0.05 ** 0.01 *** 0.001) keep(1.treat_ft  1.vote_bjp 1.resp_hindu 1.treat_ft#1.vote_bjp 1.treat_ft#1.resp_hindu 1.vote_bjp#1.resp_hindu 1.treat_ft#1.vote_bjp#1.resp_hindu age female edu _cons)
{res}
                    &          M1   &          M2   &          M3   &          M4   &          M5   &          M6   \\
Prime=1             &      -3.539** &       0.893   &       4.215** &      -3.933   &  -2.938$^\dag$&      -3.866   \\
                    &     (1.337)   &     (0.885)   &     (1.437)   &     (2.637)   &     (1.517)   &     (2.728)   \\
Age                 &      -0.883   &      -3.385** &      -2.334   &       1.320   &      -0.991   &       0.954   \\
                    &     (1.770)   &     (1.211)   &     (1.989)   &     (1.773)   &     (1.758)   &     (1.768)   \\
Gender              &       0.767   &      -2.060** &      -2.816*  &       1.058   &       0.407   &       0.787   \\
                    &     (1.113)   &     (0.737)   &     (1.272)   &     (1.096)   &     (1.106)   &     (1.091)   \\
Education           &      -0.509   &      -2.305***&      -1.992*  &       0.802   &       0.083   &       1.021   \\
                    &     (0.815)   &     (0.535)   &     (0.905)   &     (0.810)   &     (0.812)   &     (0.808)   \\
Hindu               &               &               &               &     -12.332***&               &     -10.466***\\
                    &               &               &               &     (2.647)   &               &     (2.852)   \\
Prime=1 $\times$ Hindu&               &               &               &       0.949   &               &       1.595   \\
                    &               &               &               &     (3.040)   &               &     (3.260)   \\
BJP Voter=1         &               &               &               &               &      -6.102*  &      14.031*  \\
                    &               &               &               &               &     (2.788)   &     (6.509)   \\
Prime=1 $\times$ BJP Voter=1&               &               &               &               &      -1.934   &       4.019   \\
                    &               &               &               &               &     (3.145)   &     (6.986)   \\
BJP Voter=1 $\times$ Hindu&               &               &               &               &               &     -18.829** \\
                    &               &               &               &               &               &     (7.151)   \\
Prime=1 $\times$ BJP Voter=1 $\times$ Hindu&               &               &               &               &               &      -6.110   \\
                    &               &               &               &               &               &     (7.739)   \\
Constant            &      57.276***&      98.268***&      35.627***&      56.917***&      58.338***&      57.434***\\
                    &     (7.092)   &     (4.804)   &     (8.010)   &     (7.249)   &     (7.097)   &     (7.249)   \\
R-squared           &       0.003   &       0.010   &       0.006   &       0.032   &       0.016   &       0.043   \\
Adjusted            &    .0016882   &    .0083303   &    .0043457   &    .0300187   &    .0134427   &    .0397232   \\
R2                  &        2567   &        2478   &        2883   &        2567   &        2567   &        2567   \\
$^\dag$ p<0.10, * p<0.05, ** p<0.01, *** p<0.001
{com}. {c )-}
. 
. 
. 
. *** Table F.3. Priming experiment, heterogenous treatment effects with DC: Ingroups
. {c -(}
. eststo clear
. 
. **Model 1: Ingroup: Misinformation with Hindu interaction**
. eststo: reg feel_ingroup i.treat_ft##i.resp_hindu  $X_full , robust

{txt}Linear regression                               Number of obs     = {res}     2,530
                                                {txt}F(6, 2523)        =  {res}     5.59
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0131
                                                {txt}Root MSE          =    {res} 17.773

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       feel_ingroup{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.treat_ft {c |}{col 21}{res}{space 2}  .530787{col 33}{space 2} 1.781608{col 44}{space 1}    0.30{col 53}{space 3}0.766{col 61}{space 4}-2.962777{col 74}{space 3} 4.024351
{txt}{space 19} {c |}
{space 9}resp_hindu {c |}
{space 13}Hindu  {c |}{col 21}{res}{space 2}-3.690293{col 33}{space 2} 1.781676{col 44}{space 1}   -2.07{col 53}{space 3}0.038{col 61}{space 4} -7.18399{col 74}{space 3}-.1965948
{txt}{space 19} {c |}
treat_ft#resp_hindu {c |}
{space 11}1#Hindu  {c |}{col 21}{res}{space 2} 1.231794{col 33}{space 2}  2.03917{col 44}{space 1}    0.60{col 53}{space 3}0.546{col 61}{space 4}-2.766824{col 74}{space 3} 5.230413
{txt}{space 19} {c |}
{space 16}age {c |}{col 21}{res}{space 2}-.1176345{col 33}{space 2} 1.154161{col 44}{space 1}   -0.10{col 53}{space 3}0.919{col 61}{space 4}-2.380834{col 74}{space 3} 2.145565
{txt}{space 13}female {c |}{col 21}{res}{space 2}-2.375522{col 33}{space 2} .7200699{col 44}{space 1}   -3.30{col 53}{space 3}0.001{col 61}{space 4}-3.787511{col 74}{space 3}-.9635337
{txt}{space 16}edu {c |}{col 21}{res}{space 2}-1.373966{col 33}{space 2} .5158107{col 44}{space 1}   -2.66{col 53}{space 3}0.008{col 61}{space 4}-2.385421{col 74}{space 3}-.3625099
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 89.38452{col 33}{space 2} 4.673195{col 44}{space 1}   19.13{col 53}{space 3}0.000{col 61}{space 4} 80.22083{col 74}{space 3} 98.54821
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)
{com}. est store M1 
. 
. **Model 2:  Ingroup: Misinformation with BJP interaction**
. reg feel_ingroup i.treat_ft##i.vote_bjp $X_full, robust

{txt}Linear regression                               Number of obs     = {res}     2,530
                                                {txt}F(6, 2523)        =  {res}     6.87
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0156
                                                {txt}Root MSE          =    {res}  17.75

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     feel_ingroup{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}1.treat_ft {c |}{col 19}{res}{space 2} .4542565{col 31}{space 2} .9823243{col 42}{space 1}    0.46{col 51}{space 3}0.644{col 59}{space 4}-1.471988{col 72}{space 3} 2.380501
{txt}{space 7}1.vote_bjp {c |}{col 19}{res}{space 2} .0554488{col 31}{space 2} 1.887064{col 42}{space 1}    0.03{col 51}{space 3}0.977{col 59}{space 4}-3.644904{col 72}{space 3} 3.755801
{txt}{space 17} {c |}
treat_ft#vote_bjp {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2} 3.963183{col 31}{space 2}  2.06751{col 42}{space 1}    1.92{col 51}{space 3}0.055{col 59}{space 4}-.0910067{col 72}{space 3} 8.017372
{txt}{space 17} {c |}
{space 14}age {c |}{col 19}{res}{space 2}-.6317694{col 31}{space 2} 1.143596{col 42}{space 1}   -0.55{col 51}{space 3}0.581{col 59}{space 4}-2.874252{col 72}{space 3} 1.610714
{txt}{space 11}female {c |}{col 19}{res}{space 2}-2.343643{col 31}{space 2} .7175385{col 42}{space 1}   -3.27{col 51}{space 3}0.001{col 59}{space 4}-3.750667{col 72}{space 3}-.9366182
{txt}{space 14}edu {c |}{col 19}{res}{space 2}-1.938256{col 31}{space 2} .5139118{col 42}{space 1}   -3.77{col 51}{space 3}0.000{col 59}{space 4}-2.945988{col 72}{space 3}-.9305236
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 89.12201{col 31}{space 2} 4.581668{col 42}{space 1}   19.45{col 51}{space 3}0.000{col 59}{space 4}  80.1378{col 72}{space 3} 98.10623
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store M2
. 
. ** Model 3: Ingroup: Misinformation with BJP and Hindu interaction**
. reg feel_ingroup i.treat_ft##i.vote_bjp##i.resp_hindu $X_full, robust

{txt}Linear regression                               Number of obs     = {res}     2,530
                                                {txt}F(10, 2519)       =  {res}     6.47
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0238
                                                {txt}Root MSE          =    {res}  17.69

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42}    Robust
{col 1}                feel_ingroup{col 30}{c |}      Coef.{col 42}   Std. Err.{col 54}      t{col 62}   P>|t|{col 70}     [95% Con{col 83}f. Interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}1.treat_ft {c |}{col 30}{res}{space 2}  .554543{col 42}{space 2} 1.821015{col 53}{space 1}    0.30{col 62}{space 3}0.761{col 70}{space 4}-3.016297{col 83}{space 3} 4.125383
{txt}{space 18}1.vote_bjp {c |}{col 30}{res}{space 2}-2.072247{col 42}{space 2} 6.846945{col 53}{space 1}   -0.30{col 62}{space 3}0.762{col 70}{space 4}-15.49846{col 83}{space 3} 11.35397
{txt}{space 28} {c |}
{space 11}treat_ft#vote_bjp {c |}
{space 24}1 1  {c |}{col 30}{res}{space 2}-1.958013{col 42}{space 2} 9.166904{col 53}{space 1}   -0.21{col 62}{space 3}0.831{col 70}{space 4}-19.93345{col 83}{space 3} 16.01743
{txt}{space 28} {c |}
{space 18}resp_hindu {c |}
{space 22}Hindu  {c |}{col 30}{res}{space 2} -4.05851{col 42}{space 2} 1.894499{col 53}{space 1}   -2.14{col 62}{space 3}0.032{col 70}{space 4}-7.773445{col 83}{space 3}-.3435754
{txt}{space 28} {c |}
{space 9}treat_ft#resp_hindu {c |}
{space 20}1#Hindu  {c |}{col 30}{res}{space 2} .0178688{col 42}{space 2}  2.16167{col 53}{space 1}    0.01{col 62}{space 3}0.993{col 70}{space 4}-4.220964{col 83}{space 3} 4.256702
{txt}{space 28} {c |}
{space 9}vote_bjp#resp_hindu {c |}
{space 20}1#Hindu  {c |}{col 30}{res}{space 2} 3.225692{col 42}{space 2} 7.133836{col 53}{space 1}    0.45{col 62}{space 3}0.651{col 70}{space 4}-10.76309{col 83}{space 3} 17.21447
{txt}{space 28} {c |}
treat_ft#vote_bjp#resp_hindu {c |}
{space 18}1#1#Hindu  {c |}{col 30}{res}{space 2} 6.026609{col 42}{space 2} 9.426034{col 53}{space 1}    0.64{col 62}{space 3}0.523{col 70}{space 4}-12.45696{col 83}{space 3} 24.51018
{txt}{space 28} {c |}
{space 25}age {c |}{col 30}{res}{space 2}  .044985{col 42}{space 2}  1.15172{col 53}{space 1}    0.04{col 62}{space 3}0.969{col 70}{space 4}-2.213431{col 83}{space 3} 2.303401
{txt}{space 22}female {c |}{col 30}{res}{space 2}-2.206483{col 42}{space 2} .7175481{col 53}{space 1}   -3.08{col 62}{space 3}0.002{col 70}{space 4}-3.613528{col 83}{space 3}-.7994388
{txt}{space 25}edu {c |}{col 30}{res}{space 2}-1.574439{col 42}{space 2} .5229873{col 53}{space 1}   -3.01{col 62}{space 3}0.003{col 70}{space 4}-2.599968{col 83}{space 3}-.5489105
{txt}{space 23}_cons {c |}{col 30}{res}{space 2} 89.04818{col 42}{space 2} 4.676599{col 53}{space 1}   19.04{col 62}{space 3}0.000{col 70}{space 4} 79.87781{col 83}{space 3} 98.21855
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store M3
. 
. estout M1 M2 M3  , style(tex)  cells( b(star fmt(%9.3f) label(Coef.)) se(label(Std. err.) par) )  stats(r2 r2_a N, fmt(%9.3f %9.0g) labels(R-squared)) legend label collabels(none) varlabels(_cons Constant) starlevels($^\dag$ 0.10 * 0.05 ** 0.01 *** 0.001) keep(1.treat_ft  1.vote_bjp 1.resp_hindu 1.treat_ft#1.vote_bjp 1.treat_ft#1.resp_hindu 1.vote_bjp#1.resp_hindu 1.treat_ft#1.vote_bjp#1.resp_hindu age female edu _cons)
{res}
                    &          M1   &          M2   &          M3   \\
Prime=1             &       0.531   &       0.454   &       0.555   \\
                    &     (1.782)   &     (0.982)   &     (1.821)   \\
Hindu               &      -3.690*  &               &      -4.059*  \\
                    &     (1.782)   &               &     (1.894)   \\
Prime=1 $\times$ Hindu&       1.232   &               &       0.018   \\
                    &     (2.039)   &               &     (2.162)   \\
Age                 &      -0.118   &      -0.632   &       0.045   \\
                    &     (1.154)   &     (1.144)   &     (1.152)   \\
Gender              &      -2.376***&      -2.344** &      -2.206** \\
                    &     (0.720)   &     (0.718)   &     (0.718)   \\
Education           &      -1.374** &      -1.938***&      -1.574** \\
                    &     (0.516)   &     (0.514)   &     (0.523)   \\
BJP Voter=1         &               &       0.055   &      -2.072   \\
                    &               &     (1.887)   &     (6.847)   \\
Prime=1 $\times$ BJP Voter=1&               &   3.963$^\dag$&      -1.958   \\
                    &               &     (2.068)   &     (9.167)   \\
BJP Voter=1 $\times$ Hindu&               &               &       3.226   \\
                    &               &               &     (7.134)   \\
Prime=1 $\times$ BJP Voter=1 $\times$ Hindu&               &               &       6.027   \\
                    &               &               &     (9.426)   \\
Constant            &      89.385***&      89.122***&      89.048***\\
                    &     (4.673)   &     (4.582)   &     (4.677)   \\
R-squared           &       0.013   &       0.016   &       0.024   \\
r2_a                &    .0107516   &    .0132749   &    .0199143   \\
N                   &        2530   &        2530   &        2530   \\
$^\dag$ p<0.10, * p<0.05, ** p<0.01, *** p<0.001
{com}. {c )-}
. 
. 
. 
. *** Table F.4. Priming experiment, heterogenous treatment effects with DC: Polarization
. {c -(}
. 
. eststo clear
. 
. **Model 1: Polarization: Misinformation with Hindu interaction**
. eststo: reg feel_inminusout i.treat_ft##i.resp_hindu  $X_full , robust

{txt}Linear regression                               Number of obs     = {res}     2,439
                                                {txt}F(6, 2432)        =  {res}     6.81
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0160
                                                {txt}Root MSE          =    {res} 32.995

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}    feel_inminusout{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.treat_ft {c |}{col 21}{res}{space 2} 5.589438{col 33}{space 2}  3.29267{col 44}{space 1}    1.70{col 53}{space 3}0.090{col 61}{space 4}-.8672892{col 74}{space 3} 12.04617
{txt}{space 19} {c |}
{space 9}resp_hindu {c |}
{space 13}Hindu  {c |}{col 21}{res}{space 2} 8.352449{col 33}{space 2} 3.251283{col 44}{space 1}    2.57{col 53}{space 3}0.010{col 61}{space 4} 1.976878{col 74}{space 3} 14.72802
{txt}{space 19} {c |}
treat_ft#resp_hindu {c |}
{space 11}1#Hindu  {c |}{col 21}{res}{space 2} -.502426{col 33}{space 2} 3.751042{col 44}{space 1}   -0.13{col 53}{space 3}0.893{col 61}{space 4}-7.857994{col 74}{space 3} 6.853141
{txt}{space 19} {c |}
{space 16}age {c |}{col 21}{res}{space 2}    .4333{col 33}{space 2} 2.116637{col 44}{space 1}    0.20{col 53}{space 3}0.838{col 61}{space 4}-3.717298{col 74}{space 3} 4.583898
{txt}{space 13}female {c |}{col 21}{res}{space 2} -2.72566{col 33}{space 2} 1.355014{col 44}{space 1}   -2.01{col 53}{space 3}0.044{col 61}{space 4} -5.38276{col 74}{space 3}-.0685597
{txt}{space 16}edu {c |}{col 21}{res}{space 2}-.7652174{col 33}{space 2} .9602333{col 44}{space 1}   -0.80{col 53}{space 3}0.426{col 61}{space 4}-2.648177{col 74}{space 3} 1.117742
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 19.02275{col 33}{space 2} 8.718076{col 44}{space 1}    2.18{col 53}{space 3}0.029{col 61}{space 4}  1.92713{col 74}{space 3} 36.11838
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)
{com}. est store M1 
. 
. **Model 2: Polarization: Misinformation with BJP interaction**
. reg feel_inminusout i.treat_ft##i.vote_bjp $X_full, robust

{txt}Linear regression                               Number of obs     = {res}     2,439
                                                {txt}F(6, 2432)        =  {res}    16.78
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0374
                                                {txt}Root MSE          =    {res} 32.635

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}  feel_inminusout{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}1.treat_ft {c |}{col 19}{res}{space 2} 3.619929{col 31}{space 2} 1.777276{col 42}{space 1}    2.04{col 51}{space 3}0.042{col 59}{space 4} .1347983{col 72}{space 3}  7.10506
{txt}{space 7}1.vote_bjp {c |}{col 19}{res}{space 2} 8.578005{col 31}{space 2} 3.463537{col 42}{space 1}    2.48{col 51}{space 3}0.013{col 59}{space 4} 1.786217{col 72}{space 3} 15.36979
{txt}{space 17} {c |}
treat_ft#vote_bjp {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2}  6.84037{col 31}{space 2} 3.885745{col 42}{space 1}    1.76{col 51}{space 3}0.078{col 59}{space 4}-.7793432{col 72}{space 3} 14.46008
{txt}{space 17} {c |}
{space 14}age {c |}{col 19}{res}{space 2}  2.09814{col 31}{space 2} 2.072349{col 42}{space 1}    1.01{col 51}{space 3}0.311{col 59}{space 4}-1.965612{col 72}{space 3} 6.161893
{txt}{space 11}female {c |}{col 19}{res}{space 2}-1.954659{col 31}{space 2} 1.342136{col 42}{space 1}   -1.46{col 51}{space 3}0.145{col 59}{space 4}-4.586507{col 72}{space 3} .6771888
{txt}{space 14}edu {c |}{col 19}{res}{space 2}-.9662417{col 31}{space 2} .9396023{col 42}{space 1}   -1.03{col 51}{space 3}0.304{col 59}{space 4}-2.808745{col 72}{space 3} .8762619
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 17.49987{col 31}{space 2} 8.419725{col 42}{space 1}    2.08{col 51}{space 3}0.038{col 59}{space 4} .9892954{col 72}{space 3} 34.01044
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store M2
. 
. ** Model 3: Polarization: Misinformation with BJP and Hindu interaction**
. reg feel_inminusout i.treat_ft##i.vote_bjp##i.resp_hindu $X_full, robust

{txt}Linear regression                               Number of obs     = {res}     2,439
                                                {txt}F(10, 2428)       =  {res}    14.07
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0468
                                                {txt}Root MSE          =    {res} 32.502

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42}    Robust
{col 1}             feel_inminusout{col 30}{c |}      Coef.{col 42}   Std. Err.{col 54}      t{col 62}   P>|t|{col 70}     [95% Con{col 83}f. Interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}1.treat_ft {c |}{col 30}{res}{space 2} 5.379867{col 42}{space 2} 3.427253{col 53}{space 1}    1.57{col 62}{space 3}0.117{col 70}{space 4}-1.340776{col 83}{space 3} 12.10051
{txt}{space 18}1.vote_bjp {c |}{col 30}{res}{space 2}-12.61578{col 42}{space 2} 6.590584{col 53}{space 1}   -1.91{col 62}{space 3}0.056{col 70}{space 4}-25.53953{col 83}{space 3} .3079643
{txt}{space 28} {c |}
{space 11}treat_ft#vote_bjp {c |}
{space 24}1 1  {c |}{col 30}{res}{space 2}-2.270561{col 42}{space 2} 9.512474{col 53}{space 1}   -0.24{col 62}{space 3}0.811{col 70}{space 4}-20.92397{col 83}{space 3} 16.38285
{txt}{space 28} {c |}
{space 18}resp_hindu {c |}
{space 22}Hindu  {c |}{col 30}{res}{space 2} 5.541438{col 42}{space 2} 3.482172{col 53}{space 1}    1.59{col 62}{space 3}0.112{col 70}{space 4}-1.286898{col 83}{space 3} 12.36977
{txt}{space 28} {c |}
{space 9}treat_ft#resp_hindu {c |}
{space 20}1#Hindu  {c |}{col 30}{res}{space 2}-2.550617{col 42}{space 2} 3.996938{col 53}{space 1}   -0.64{col 62}{space 3}0.523{col 70}{space 4}-10.38838{col 83}{space 3} 5.287145
{txt}{space 28} {c |}
{space 9}vote_bjp#resp_hindu {c |}
{space 20}1#Hindu  {c |}{col 30}{res}{space 2} 21.20325{col 42}{space 2} 7.545078{col 53}{space 1}    2.81{col 62}{space 3}0.005{col 70}{space 4} 6.407788{col 83}{space 3}  35.9987
{txt}{space 28} {c |}
treat_ft#vote_bjp#resp_hindu {c |}
{space 18}1#1#Hindu  {c |}{col 30}{res}{space 2}  9.46212{col 42}{space 2} 10.36416{col 53}{space 1}    0.91{col 62}{space 3}0.361{col 70}{space 4} -10.8614{col 83}{space 3} 29.78564
{txt}{space 28} {c |}
{space 25}age {c |}{col 30}{res}{space 2} 1.278001{col 42}{space 2} 2.089388{col 53}{space 1}    0.61{col 62}{space 3}0.541{col 70}{space 4}-2.819167{col 83}{space 3}  5.37517
{txt}{space 22}female {c |}{col 30}{res}{space 2}-2.107793{col 42}{space 2} 1.335777{col 53}{space 1}   -1.58{col 62}{space 3}0.115{col 70}{space 4}-4.727174{col 83}{space 3} .5115885
{txt}{space 25}edu {c |}{col 30}{res}{space 2}-1.376977{col 42}{space 2} .9531878{col 53}{space 1}   -1.44{col 62}{space 3}0.149{col 70}{space 4}-3.246122{col 83}{space 3} .4921686
{txt}{space 23}_cons {c |}{col 30}{res}{space 2} 17.05538{col 42}{space 2} 8.664414{col 53}{space 1}    1.97{col 62}{space 3}0.049{col 70}{space 4} .0649683{col 83}{space 3} 34.04579
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store M3
. 
. estout M1 M2 M3  , style(tex)  cells( b(star fmt(%9.3f) label(Coef.)) se(label(Std. err.) par) )  stats(r2 r2_a N, fmt(%9.3f %9.0g) labels(R-squared)) legend label collabels(none) varlabels(_cons Constant) starlevels($^\dag$ 0.10 * 0.05 ** 0.01 *** 0.001) keep(1.treat_ft  1.vote_bjp 1.resp_hindu 1.treat_ft#1.vote_bjp 1.treat_ft#1.resp_hindu 1.vote_bjp#1.resp_hindu 1.treat_ft#1.vote_bjp#1.resp_hindu age female edu _cons)
{res}
                    &          M1   &          M2   &          M3   \\
Prime=1             &   5.589$^\dag$&       3.620*  &       5.380   \\
                    &     (3.293)   &     (1.777)   &     (3.427)   \\
Hindu               &       8.352*  &               &       5.541   \\
                    &     (3.251)   &               &     (3.482)   \\
Prime=1 $\times$ Hindu&      -0.502   &               &      -2.551   \\
                    &     (3.751)   &               &     (3.997)   \\
Age                 &       0.433   &       2.098   &       1.278   \\
                    &     (2.117)   &     (2.072)   &     (2.089)   \\
Gender              &      -2.726*  &      -1.955   &      -2.108   \\
                    &     (1.355)   &     (1.342)   &     (1.336)   \\
Education           &      -0.765   &      -0.966   &      -1.377   \\
                    &     (0.960)   &     (0.940)   &     (0.953)   \\
BJP Voter=1         &               &       8.578*  & -12.616$^\dag$\\
                    &               &     (3.464)   &     (6.591)   \\
Prime=1 $\times$ BJP Voter=1&               &   6.840$^\dag$&      -2.271   \\
                    &               &     (3.886)   &     (9.512)   \\
BJP Voter=1 $\times$ Hindu&               &               &      21.203** \\
                    &               &               &     (7.545)   \\
Prime=1 $\times$ BJP Voter=1 $\times$ Hindu&               &               &       9.462   \\
                    &               &               &    (10.364)   \\
Constant            &      19.023*  &      17.500*  &      17.055*  \\
                    &     (8.718)   &     (8.420)   &     (8.664)   \\
R-squared           &       0.016   &       0.037   &       0.047   \\
r2_a                &    .0135717   &    .0350244   &    .0428373   \\
N                   &        2439   &        2439   &        2439   \\
$^\dag$ p<0.10, * p<0.05, ** p<0.01, *** p<0.001
{com}. {c )-}
. 
. {c )-}
{txt}
{com}. 
. 
. 
. ********************************************************************************
. ***Appendix G. Replicating Table I: Effect of corrections
. ********************************************************************************
. {c -(}
. *** Table G.1. Priming experiment, effect of corrections with DV: Ingroups
. {c -(} 
. eststo clear
. 
. **Model 1: Feelings Towards Religious Ingroup with Any Correction**
. reg feel_ingroup i.treat_idol_any $X_full if treat_ft==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,918
                                                {txt}F(4, 1913)        =  {res}     1.63
                                                {txt}Prob > F          = {res}    0.1631
                                                {txt}R-squared         = {res}    0.0035
                                                {txt}Root MSE          =    {res} 17.409

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}   feel_ingroup{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}treat_idol_any {c |}
Any correction  {c |}{col 17}{res}{space 2} .5857321{col 29}{space 2} .8606589{col 40}{space 1}    0.68{col 49}{space 3}0.496{col 57}{space 4}-1.102196{col 70}{space 3}  2.27366
{txt}{space 12}age {c |}{col 17}{res}{space 2} -.594067{col 29}{space 2} 1.284574{col 40}{space 1}   -0.46{col 49}{space 3}0.644{col 57}{space 4}-3.113379{col 70}{space 3} 1.925245
{txt}{space 9}female {c |}{col 17}{res}{space 2}-1.728431{col 29}{space 2} .8073849{col 40}{space 1}   -2.14{col 49}{space 3}0.032{col 57}{space 4}-3.311878{col 70}{space 3}-.1449835
{txt}{space 12}edu {c |}{col 17}{res}{space 2}-.9012317{col 29}{space 2} .5669263{col 40}{space 1}   -1.59{col 49}{space 3}0.112{col 57}{space 4} -2.01309{col 70}{space 3} .2106269
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 88.39914{col 29}{space 2} 5.006206{col 40}{space 1}   17.66{col 49}{space 3}0.000{col 57}{space 4} 78.58094{col 70}{space 3} 98.21734
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store MA
. 
. **Model 2: Feelings Towards Religious Ingroup with Disaggregated Correction**
. eststo: reg feel_ingroup treat_idol_correct treat_idol_priest $X_full if treat_ft==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,918
                                                {txt}F(5, 1912)        =  {res}     1.60
                                                {txt}Prob > F          = {res}    0.1567
                                                {txt}R-squared         = {res}    0.0044
                                                {txt}Root MSE          =    {res} 17.405

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}      feel_ingroup{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
treat_idol_correct {c |}{col 20}{res}{space 2} 1.213651{col 32}{space 2} .9488644{col 43}{space 1}    1.28{col 52}{space 3}0.201{col 60}{space 4}-.6472672{col 73}{space 3} 3.074569
{txt}{space 1}treat_idol_priest {c |}{col 20}{res}{space 2}-.0939916{col 32}{space 2} 1.024829{col 43}{space 1}   -0.09{col 52}{space 3}0.927{col 60}{space 4}-2.103892{col 73}{space 3} 1.915908
{txt}{space 15}age {c |}{col 20}{res}{space 2}-.5761713{col 32}{space 2} 1.283449{col 43}{space 1}   -0.45{col 52}{space 3}0.654{col 60}{space 4}-3.093279{col 73}{space 3} 1.940937
{txt}{space 12}female {c |}{col 20}{res}{space 2} -1.74068{col 32}{space 2} .8085433{col 43}{space 1}   -2.15{col 52}{space 3}0.031{col 60}{space 4}  -3.3264{col 73}{space 3}-.1549609
{txt}{space 15}edu {c |}{col 20}{res}{space 2}-.8990115{col 32}{space 2} .5666686{col 43}{space 1}   -1.59{col 52}{space 3}0.113{col 60}{space 4}-2.010365{col 73}{space 3}  .212342
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 88.33835{col 32}{space 2} 5.001314{col 43}{space 1}   17.66{col 52}{space 3}0.000{col 60}{space 4} 78.52975{col 73}{space 3} 98.14696
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)
{com}. est store MB
. 
. **Model 3: Ingroup: Correction with Hindu interaction**
. reg feel_ingroup i.treat_idol_any##i.resp_hindu $X_full if treat_ft==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,918
                                                {txt}F(6, 1911)        =  {res}     3.28
                                                {txt}Prob > F          = {res}    0.0032
                                                {txt}R-squared         = {res}    0.0093
                                                {txt}Root MSE          =    {res} 17.367

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}             feel_ingroup{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}treat_idol_any {c |}
{space 10}Any correction  {c |}{col 27}{res}{space 2}-2.814838{col 39}{space 2} 1.787699{col 50}{space 1}   -1.57{col 59}{space 3}0.116{col 67}{space 4}-6.320884{col 80}{space 3} .6912076
{txt}{space 25} {c |}
{space 15}resp_hindu {c |}
{space 19}Hindu  {c |}{col 27}{res}{space 2}-5.559035{col 39}{space 2} 1.613293{col 50}{space 1}   -3.45{col 59}{space 3}0.001{col 67}{space 4}-8.723036{col 80}{space 3}-2.395034
{txt}{space 25} {c |}
treat_idol_any#resp_hindu {c |}
{space 4}Any correction#Hindu  {c |}{col 27}{res}{space 2} 4.228329{col 39}{space 2} 2.032368{col 50}{space 1}    2.08{col 59}{space 3}0.038{col 67}{space 4} .2424368{col 80}{space 3} 8.214222
{txt}{space 25} {c |}
{space 22}age {c |}{col 27}{res}{space 2}-.2046003{col 39}{space 2} 1.286777{col 50}{space 1}   -0.16{col 59}{space 3}0.874{col 67}{space 4}-2.728234{col 80}{space 3} 2.319034
{txt}{space 19}female {c |}{col 27}{res}{space 2}-1.699719{col 39}{space 2} .8059269{col 50}{space 1}   -2.11{col 59}{space 3}0.035{col 67}{space 4}-3.280308{col 80}{space 3}  -.11913
{txt}{space 22}edu {c |}{col 27}{res}{space 2}-.6158359{col 39}{space 2} .5861667{col 50}{space 1}   -1.05{col 59}{space 3}0.294{col 67}{space 4} -1.76543{col 80}{space 3} .5337577
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 91.07597{col 39}{space 2}  5.07628{col 50}{space 1}   17.94{col 59}{space 3}0.000{col 67}{space 4} 81.12034{col 80}{space 3} 101.0316
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store MC
. 
. **Model 4: Ingroup: Correction with BJP interaction**
. reg feel_ingroup i.treat_idol_any##i.vote_bjp $X_full if treat_ft==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,918
                                                {txt}F(6, 1911)        =  {res}     4.19
                                                {txt}Prob > F          = {res}    0.0003
                                                {txt}R-squared         = {res}    0.0121
                                                {txt}Root MSE          =    {res} 17.342

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}           feel_ingroup{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}treat_idol_any {c |}
{space 8}Any correction  {c |}{col 25}{res}{space 2} .5163699{col 37}{space 2} 1.020866{col 48}{space 1}    0.51{col 57}{space 3}0.613{col 65}{space 4}-1.485758{col 78}{space 3} 2.518498
{txt}{space 13}1.vote_bjp {c |}{col 25}{res}{space 2} 3.729502{col 37}{space 2} 1.509265{col 48}{space 1}    2.47{col 57}{space 3}0.014{col 65}{space 4} .7695217{col 78}{space 3} 6.689482
{txt}{space 23} {c |}
treat_idol_any#vote_bjp {c |}
{space 6}Any correction#1  {c |}{col 25}{res}{space 2}  .234499{col 37}{space 2} 1.819318{col 48}{space 1}    0.13{col 57}{space 3}0.897{col 65}{space 4}-3.333559{col 78}{space 3} 3.802557
{txt}{space 23} {c |}
{space 20}age {c |}{col 25}{res}{space 2}-.6156544{col 37}{space 2} 1.282361{col 48}{space 1}   -0.48{col 57}{space 3}0.631{col 65}{space 4}-3.130629{col 78}{space 3}  1.89932
{txt}{space 17}female {c |}{col 25}{res}{space 2}-1.581197{col 37}{space 2} .8042709{col 48}{space 1}   -1.97{col 57}{space 3}0.049{col 65}{space 4}-3.158538{col 78}{space 3}-.0038555
{txt}{space 20}edu {c |}{col 25}{res}{space 2}-1.228997{col 37}{space 2} .5838218{col 48}{space 1}   -2.11{col 57}{space 3}0.035{col 65}{space 4}-2.373992{col 78}{space 3}-.0840025
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} 87.95382{col 37}{space 2} 4.993773{col 48}{space 1}   17.61{col 57}{space 3}0.000{col 65}{space 4}    78.16{col 78}{space 3} 97.74764
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store MD
. 
. ** Model 5: Ingroup: Correction with BJP and Hindu interaction**
. reg feel_ingroup i.treat_idol_any##i.vote_bjp##i.resp_hindu $X_full if treat_ft==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,918
                                                {txt}F(10, 1907)       =  {res}     5.04
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0237
                                                {txt}Root MSE          =    {res} 17.258

{txt}{hline 35}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 36}{c |}{col 48}    Robust
{col 1}                      feel_ingroup{col 36}{c |}      Coef.{col 48}   Std. Err.{col 60}      t{col 68}   P>|t|{col 76}     [95% Con{col 89}f. Interval]
{hline 35}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}treat_idol_any {c |}
{space 19}Any correction  {c |}{col 36}{res}{space 2}-2.506149{col 48}{space 2} 1.818544{col 59}{space 1}   -1.38{col 68}{space 3}0.168{col 76}{space 4}-6.072694{col 89}{space 3} 1.060396
{txt}{space 24}1.vote_bjp {c |}{col 36}{res}{space 2} 2.283582{col 48}{space 2} 4.971132{col 59}{space 1}    0.46{col 68}{space 3}0.646{col 76}{space 4}-7.465846{col 89}{space 3} 12.03301
{txt}{space 34} {c |}
{space 11}treat_idol_any#vote_bjp {c |}
{space 17}Any correction#1  {c |}{col 36}{res}{space 2}-8.775199{col 48}{space 2} 9.373433{col 59}{space 1}   -0.94{col 68}{space 3}0.349{col 76}{space 4}-27.15846{col 89}{space 3} 9.608061
{txt}{space 34} {c |}
{space 24}resp_hindu {c |}
{space 28}Hindu  {c |}{col 36}{res}{space 2}-6.928488{col 48}{space 2} 1.750454{col 59}{space 1}   -3.96{col 68}{space 3}0.000{col 76}{space 4}-10.36149{col 89}{space 3}-3.495483
{txt}{space 34} {c |}
{space 9}treat_idol_any#resp_hindu {c |}
{space 13}Any correction#Hindu  {c |}{col 36}{res}{space 2}  3.98193{col 48}{space 2} 2.178058{col 59}{space 1}    1.83{col 68}{space 3}0.068{col 76}{space 4}-.2896957{col 89}{space 3} 8.253556
{txt}{space 34} {c |}
{space 15}vote_bjp#resp_hindu {c |}
{space 26}1#Hindu  {c |}{col 36}{res}{space 2} 3.066647{col 48}{space 2} 5.222874{col 59}{space 1}    0.59{col 68}{space 3}0.557{col 76}{space 4}-7.176499{col 89}{space 3} 13.30979
{txt}{space 34} {c |}
treat_idol_any#vote_bjp#resp_hindu {c |}
{space 11}Any correction#1#Hindu  {c |}{col 36}{res}{space 2} 8.428664{col 48}{space 2} 9.563307{col 59}{space 1}    0.88{col 68}{space 3}0.378{col 76}{space 4}-10.32698{col 89}{space 3} 27.18431
{txt}{space 34} {c |}
{space 31}age {c |}{col 36}{res}{space 2} -.066595{col 48}{space 2} 1.282177{col 59}{space 1}   -0.05{col 68}{space 3}0.959{col 76}{space 4}-2.581212{col 89}{space 3} 2.448022
{txt}{space 28}female {c |}{col 36}{res}{space 2}-1.480193{col 48}{space 2} .8010842{col 59}{space 1}   -1.85{col 68}{space 3}0.065{col 76}{space 4}-3.051287{col 89}{space 3} .0909001
{txt}{space 31}edu {c |}{col 36}{res}{space 2}-.8616846{col 48}{space 2} .5969266{col 59}{space 1}   -1.44{col 68}{space 3}0.149{col 76}{space 4}-2.032382{col 89}{space 3}  .309013
{txt}{space 29}_cons {c |}{col 36}{res}{space 2} 90.66073{col 48}{space 2} 5.062411{col 59}{space 1}   17.91{col 68}{space 3}0.000{col 76}{space 4} 80.73229{col 89}{space 3} 100.5892
{txt}{hline 35}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store ME
. 
. estout MA MB MC MD ME , style(tex)  cells( b(star fmt(%9.3f) label(Coef.)) se(label(Std. err.) par) )  stats(r2 r2_a N, fmt(%9.3f %9.0g) labels(R-squared Adjusted R2)) legend label collabels(none) varlabels(_cons Constant) starlevels($^\dag$ 0.10 * 0.05 ** 0.01 *** 0.001) keep(1.treat_idol_any treat_idol_correct treat_idol_priest 1.vote_bjp 1.resp_hindu 1.treat_idol_any#1.vote_bjp 1.treat_idol_any#1.resp_hindu 1.vote_bjp#1.resp_hindu 1.treat_idol_any#1.vote_bjp#1.resp_hindu age female edu _cons)
{res}
                    &          MA   &          MB   &          MC   &          MD   &          ME   \\
Any correction      &       0.586   &               &      -2.815   &       0.516   &      -2.506   \\
                    &     (0.861)   &               &     (1.788)   &     (1.021)   &     (1.819)   \\
Age                 &      -0.594   &      -0.576   &      -0.205   &      -0.616   &      -0.067   \\
                    &     (1.285)   &     (1.283)   &     (1.287)   &     (1.282)   &     (1.282)   \\
Gender              &      -1.728*  &      -1.741*  &      -1.700*  &      -1.581*  &  -1.480$^\dag$\\
                    &     (0.807)   &     (0.809)   &     (0.806)   &     (0.804)   &     (0.801)   \\
Education           &      -0.901   &      -0.899   &      -0.616   &      -1.229*  &      -0.862   \\
                    &     (0.567)   &     (0.567)   &     (0.586)   &     (0.584)   &     (0.597)   \\
Generic correction  &               &       1.214   &               &               &               \\
                    &               &     (0.949)   &               &               &               \\
Priest Correction   &               &      -0.094   &               &               &               \\
                    &               &     (1.025)   &               &               &               \\
Hindu               &               &               &      -5.559***&               &      -6.928***\\
                    &               &               &     (1.613)   &               &     (1.750)   \\
Any correction $\times$ Hindu&               &               &       4.228*  &               &   3.982$^\dag$\\
                    &               &               &     (2.032)   &               &     (2.178)   \\
BJP Voter=1         &               &               &               &       3.730*  &       2.284   \\
                    &               &               &               &     (1.509)   &     (4.971)   \\
Any correction $\times$ BJP Voter=1&               &               &               &       0.234   &      -8.775   \\
                    &               &               &               &     (1.819)   &     (9.373)   \\
BJP Voter=1 $\times$ Hindu&               &               &               &               &       3.067   \\
                    &               &               &               &               &     (5.223)   \\
Any correction $\times$ BJP Voter=1 $\times$ Hindu&               &               &               &               &       8.429   \\
                    &               &               &               &               &     (9.563)   \\
Constant            &      88.399***&      88.338***&      91.076***&      87.954***&      90.661***\\
                    &     (5.006)   &     (5.001)   &     (5.076)   &     (4.994)   &     (5.062)   \\
R-squared           &       0.003   &       0.004   &       0.009   &       0.012   &       0.024   \\
Adjusted            &    .0013842   &    .0018186   &    .0061755   &    .0090049   &    .0185812   \\
R2                  &        1918   &        1918   &        1918   &        1918   &        1918   \\
$^\dag$ p<0.10, * p<0.05, ** p<0.01, *** p<0.001
{com}. {c )-}
. 
. 
. 
. *** Table G.2. Priming experiment, effect of corrections with DV: Polarization
. {c -(} 
. eststo clear
. 
. **Model 1: Polarization with Any Correction**
. reg feel_inminusout i.treat_idol_any $X_full if treat_ft==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,854
                                                {txt}F(4, 1849)        =  {res}     1.86
                                                {txt}Prob > F          = {res}    0.1142
                                                {txt}R-squared         = {res}    0.0038
                                                {txt}Root MSE          =    {res} 32.972

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}feel_inminusout{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}treat_idol_any {c |}
Any correction  {c |}{col 17}{res}{space 2} 2.172431{col 29}{space 2} 1.620164{col 40}{space 1}    1.34{col 49}{space 3}0.180{col 57}{space 4}-1.005111{col 70}{space 3} 5.349974
{txt}{space 12}age {c |}{col 17}{res}{space 2} 3.362463{col 29}{space 2} 2.421199{col 40}{space 1}    1.39{col 49}{space 3}0.165{col 57}{space 4}-1.386109{col 70}{space 3} 8.111034
{txt}{space 9}female {c |}{col 17}{res}{space 2}-2.614106{col 29}{space 2} 1.556404{col 40}{space 1}   -1.68{col 49}{space 3}0.093{col 57}{space 4}-5.666599{col 70}{space 3}  .438388
{txt}{space 12}edu {c |}{col 17}{res}{space 2} .9631844{col 29}{space 2} 1.089235{col 40}{space 1}    0.88{col 49}{space 3}0.377{col 57}{space 4}-1.173076{col 70}{space 3} 3.099445
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 16.64236{col 29}{space 2} 9.467449{col 40}{space 1}    1.76{col 49}{space 3}0.079{col 57}{space 4}-1.925652{col 70}{space 3} 35.21038
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store MA
. 
. **Model 2: Polarization  with Disaggregated Correction**
. eststo: reg feel_inminusout treat_idol_correct treat_idol_priest $X_full if treat_ft==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,854
                                                {txt}F(5, 1848)        =  {res}     1.53
                                                {txt}Prob > F          = {res}    0.1768
                                                {txt}R-squared         = {res}    0.0039
                                                {txt}Root MSE          =    {res} 32.979

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}   feel_inminusout{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
treat_idol_correct {c |}{col 20}{res}{space 2} 1.831205{col 32}{space 2}  1.82763{col 43}{space 1}    1.00{col 52}{space 3}0.316{col 60}{space 4}-1.753233{col 73}{space 3} 5.415642
{txt}{space 1}treat_idol_priest {c |}{col 20}{res}{space 2} 2.550089{col 32}{space 2} 1.926916{col 43}{space 1}    1.32{col 52}{space 3}0.186{col 60}{space 4}-1.229072{col 73}{space 3} 6.329251
{txt}{space 15}age {c |}{col 20}{res}{space 2}  3.35021{col 32}{space 2} 2.423249{col 43}{space 1}    1.38{col 52}{space 3}0.167{col 60}{space 4}-1.402384{col 73}{space 3} 8.102804
{txt}{space 12}female {c |}{col 20}{res}{space 2}-2.611193{col 32}{space 2} 1.557118{col 43}{space 1}   -1.68{col 52}{space 3}0.094{col 60}{space 4}-5.665089{col 73}{space 3} .4427034
{txt}{space 15}edu {c |}{col 20}{res}{space 2} .9637769{col 32}{space 2} 1.089607{col 43}{space 1}    0.88{col 52}{space 3}0.377{col 60}{space 4}-1.173213{col 73}{space 3} 3.100767
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}  16.6839{col 32}{space 2} 9.474499{col 43}{space 1}    1.76{col 52}{space 3}0.078{col 60}{space 4}-1.897943{col 73}{space 3} 35.26575
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)
{com}. est store MB
. 
. **Model 3: Polarization: Correction with Hindu interaction**
. reg feel_inminusout i.treat_idol_any##i.resp_hindu $X_full if treat_ft==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,854
                                                {txt}F(6, 1847)        =  {res}     4.41
                                                {txt}Prob > F          = {res}    0.0002
                                                {txt}R-squared         = {res}    0.0144
                                                {txt}Root MSE          =    {res} 32.814

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}          feel_inminusout{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}treat_idol_any {c |}
{space 10}Any correction  {c |}{col 27}{res}{space 2}-4.005036{col 39}{space 2} 3.519152{col 50}{space 1}   -1.14{col 59}{space 3}0.255{col 67}{space 4}-10.90697{col 80}{space 3} 2.896898
{txt}{space 25} {c |}
{space 15}resp_hindu {c |}
{space 19}Hindu  {c |}{col 27}{res}{space 2} 2.197693{col 39}{space 2} 3.216785{col 50}{space 1}    0.68{col 59}{space 3}0.495{col 67}{space 4}-4.111224{col 80}{space 3}  8.50661
{txt}{space 25} {c |}
treat_idol_any#resp_hindu {c |}
{space 4}Any correction#Hindu  {c |}{col 27}{res}{space 2} 7.912377{col 39}{space 2} 3.961601{col 50}{space 1}    2.00{col 59}{space 3}0.046{col 67}{space 4}  .142691{col 80}{space 3} 15.68206
{txt}{space 25} {c |}
{space 22}age {c |}{col 27}{res}{space 2} 1.785134{col 39}{space 2} 2.426376{col 50}{space 1}    0.74{col 59}{space 3}0.462{col 67}{space 4}-2.973595{col 80}{space 3} 6.543862
{txt}{space 19}female {c |}{col 27}{res}{space 2}-2.690732{col 39}{space 2} 1.547865{col 50}{space 1}   -1.74{col 59}{space 3}0.082{col 67}{space 4}-5.726481{col 80}{space 3} .3450163
{txt}{space 22}edu {c |}{col 27}{res}{space 2} .0050371{col 39}{space 2} 1.100985{col 50}{space 1}    0.00{col 59}{space 3}0.996{col 67}{space 4} -2.15427{col 80}{space 3} 2.164344
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 21.76131{col 39}{space 2}  9.70332{col 50}{space 1}    2.24{col 59}{space 3}0.025{col 67}{space 4}  2.73068{col 80}{space 3} 40.79194
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store MC
. 
. **Model 4: Polarization: Correction with BJP interaction**
. reg feel_inminusout i.treat_idol_any##i.vote_bjp $X_full if treat_ft==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,854
                                                {txt}F(6, 1847)        =  {res}    14.16
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0414
                                                {txt}Root MSE          =    {res} 32.361

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}        feel_inminusout{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}treat_idol_any {c |}
{space 8}Any correction  {c |}{col 25}{res}{space 2} 1.528112{col 37}{space 2} 1.838491{col 48}{space 1}    0.83{col 57}{space 3}0.406{col 65}{space 4}-2.077626{col 78}{space 3} 5.133851
{txt}{space 13}1.vote_bjp {c |}{col 25}{res}{space 2}   13.402{col 37}{space 2} 2.980815{col 48}{space 1}    4.50{col 57}{space 3}0.000{col 65}{space 4} 7.555881{col 78}{space 3} 19.24812
{txt}{space 23} {c |}
treat_idol_any#vote_bjp {c |}
{space 6}Any correction#1  {c |}{col 25}{res}{space 2} 2.897788{col 37}{space 2} 3.679107{col 48}{space 1}    0.79{col 57}{space 3}0.431{col 65}{space 4}-4.317858{col 78}{space 3} 10.11343
{txt}{space 23} {c |}
{space 20}age {c |}{col 25}{res}{space 2}  3.41945{col 37}{space 2} 2.366564{col 48}{space 1}    1.44{col 57}{space 3}0.149{col 65}{space 4}-1.221972{col 78}{space 3} 8.060871
{txt}{space 17}female {c |}{col 25}{res}{space 2}-1.961194{col 37}{space 2} 1.527006{col 48}{space 1}   -1.28{col 57}{space 3}0.199{col 65}{space 4}-4.956034{col 78}{space 3} 1.033646
{txt}{space 20}edu {c |}{col 25}{res}{space 2}-.3747158{col 37}{space 2} 1.078724{col 48}{space 1}   -0.35{col 57}{space 3}0.728{col 65}{space 4}-2.490362{col 78}{space 3}  1.74093
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} 14.64046{col 37}{space 2} 9.282176{col 48}{space 1}    1.58{col 57}{space 3}0.115{col 65}{space 4}-3.564201{col 78}{space 3} 32.84512
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store MD
. 
. ** Model 5: Polarization: Correction with BJP and Hindu interaction**
. reg feel_inminusout i.treat_idol_any##i.vote_bjp##i.resp_hindu $X_full if treat_ft==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,854
                                                {txt}F(10, 1843)       =  {res}    11.27
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0522
                                                {txt}Root MSE          =    {res} 32.213

{txt}{hline 35}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 36}{c |}{col 48}    Robust
{col 1}                   feel_inminusout{col 36}{c |}      Coef.{col 48}   Std. Err.{col 60}      t{col 68}   P>|t|{col 76}     [95% Con{col 89}f. Interval]
{hline 35}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}treat_idol_any {c |}
{space 19}Any correction  {c |}{col 36}{res}{space 2}-3.537189{col 48}{space 2} 3.621998{col 59}{space 1}   -0.98{col 68}{space 3}0.329{col 76}{space 4}-10.64084{col 89}{space 3} 3.566462
{txt}{space 24}1.vote_bjp {c |}{col 36}{res}{space 2}-4.400893{col 48}{space 2} 4.917641{col 59}{space 1}   -0.89{col 68}{space 3}0.371{col 76}{space 4}-14.04563{col 89}{space 3} 5.243841
{txt}{space 34} {c |}
{space 11}treat_idol_any#vote_bjp {c |}
{space 17}Any correction#1  {c |}{col 36}{res}{space 2}-14.69508{col 48}{space 2} 10.16881{col 59}{space 1}   -1.45{col 68}{space 3}0.149{col 76}{space 4}-34.63868{col 89}{space 3} 5.248529
{txt}{space 34} {c |}
{space 24}resp_hindu {c |}
{space 28}Hindu  {c |}{col 36}{res}{space 2}-1.925514{col 48}{space 2} 3.424829{col 59}{space 1}   -0.56{col 68}{space 3}0.574{col 76}{space 4}-8.642467{col 89}{space 3} 4.791439
{txt}{space 34} {c |}
{space 9}treat_idol_any#resp_hindu {c |}
{space 13}Any correction#Hindu  {c |}{col 36}{res}{space 2} 6.911377{col 48}{space 2} 4.201724{col 59}{space 1}    1.64{col 68}{space 3}0.100{col 76}{space 4}-1.329263{col 89}{space 3} 15.15202
{txt}{space 34} {c |}
{space 15}vote_bjp#resp_hindu {c |}
{space 26}1#Hindu  {c |}{col 36}{res}{space 2} 18.81477{col 48}{space 2} 5.841555{col 59}{space 1}    3.22{col 68}{space 3}0.001{col 76}{space 4} 7.358003{col 89}{space 3} 30.27153
{txt}{space 34} {c |}
treat_idol_any#vote_bjp#resp_hindu {c |}
{space 11}Any correction#1#Hindu  {c |}{col 36}{res}{space 2} 16.74202{col 48}{space 2} 10.87376{col 59}{space 1}    1.54{col 68}{space 3}0.124{col 76}{space 4}-4.584161{col 89}{space 3} 38.06821
{txt}{space 34} {c |}
{space 31}age {c |}{col 36}{res}{space 2} 2.516903{col 48}{space 2} 2.382089{col 59}{space 1}    1.06{col 68}{space 3}0.291{col 76}{space 4}-2.154974{col 89}{space 3} 7.188779
{txt}{space 28}female {c |}{col 36}{res}{space 2}-1.941364{col 48}{space 2} 1.518762{col 59}{space 1}   -1.28{col 68}{space 3}0.201{col 76}{space 4} -4.92004{col 89}{space 3} 1.037312
{txt}{space 31}edu {c |}{col 36}{res}{space 2}-.7887806{col 48}{space 2} 1.094014{col 59}{space 1}   -0.72{col 68}{space 3}0.471{col 76}{space 4}-2.934418{col 89}{space 3} 1.356857
{txt}{space 29}_cons {c |}{col 36}{res}{space 2} 19.78105{col 48}{space 2} 9.552516{col 59}{space 1}    2.07{col 68}{space 3}0.039{col 76}{space 4} 1.046161{col 89}{space 3} 38.51594
{txt}{hline 35}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store ME
. 
. estout MA MB MC MD ME , style(tex)  cells( b(star fmt(%9.3f) label(Coef.)) se(label(Std. err.) par) )  stats(r2 r2_a N, fmt(%9.3f %9.0g) labels(R-squared Adjusted R2)) legend label collabels(none) varlabels(_cons Constant) starlevels($^\dag$ 0.10 * 0.05 ** 0.01 *** 0.001) keep(1.treat_idol_any treat_idol_correct treat_idol_priest 1.vote_bjp 1.resp_hindu 1.treat_idol_any#1.vote_bjp 1.treat_idol_any#1.resp_hindu 1.vote_bjp#1.resp_hindu 1.treat_idol_any#1.vote_bjp#1.resp_hindu age female edu _cons)
{res}
                    &          MA   &          MB   &          MC   &          MD   &          ME   \\
Any correction      &       2.172   &               &      -4.005   &       1.528   &      -3.537   \\
                    &     (1.620)   &               &     (3.519)   &     (1.838)   &     (3.622)   \\
Age                 &       3.362   &       3.350   &       1.785   &       3.419   &       2.517   \\
                    &     (2.421)   &     (2.423)   &     (2.426)   &     (2.367)   &     (2.382)   \\
Gender              &  -2.614$^\dag$&  -2.611$^\dag$&  -2.691$^\dag$&      -1.961   &      -1.941   \\
                    &     (1.556)   &     (1.557)   &     (1.548)   &     (1.527)   &     (1.519)   \\
Education           &       0.963   &       0.964   &       0.005   &      -0.375   &      -0.789   \\
                    &     (1.089)   &     (1.090)   &     (1.101)   &     (1.079)   &     (1.094)   \\
Generic correction  &               &       1.831   &               &               &               \\
                    &               &     (1.828)   &               &               &               \\
Priest Correction   &               &       2.550   &               &               &               \\
                    &               &     (1.927)   &               &               &               \\
Hindu               &               &               &       2.198   &               &      -1.926   \\
                    &               &               &     (3.217)   &               &     (3.425)   \\
Any correction $\times$ Hindu&               &               &       7.912*  &               &       6.911   \\
                    &               &               &     (3.962)   &               &     (4.202)   \\
BJP Voter=1         &               &               &               &      13.402***&      -4.401   \\
                    &               &               &               &     (2.981)   &     (4.918)   \\
Any correction $\times$ BJP Voter=1&               &               &               &       2.898   &     -14.695   \\
                    &               &               &               &     (3.679)   &    (10.169)   \\
BJP Voter=1 $\times$ Hindu&               &               &               &               &      18.815** \\
                    &               &               &               &               &     (5.842)   \\
Any correction $\times$ BJP Voter=1 $\times$ Hindu&               &               &               &               &      16.742   \\
                    &               &               &               &               &    (10.874)   \\
Constant            &  16.642$^\dag$&  16.684$^\dag$&      21.761*  &      14.640   &      19.781*  \\
                    &     (9.467)   &     (9.474)   &     (9.703)   &     (9.282)   &     (9.553)   \\
R-squared           &       0.004   &       0.004   &       0.014   &       0.041   &       0.052   \\
Adjusted            &    .0016602   &    .0012004   &    .0112049   &    .0382943   &    .0470937   \\
R2                  &        1854   &        1854   &        1854   &        1854   &        1854   \\
$^\dag$ p<0.10, * p<0.05, ** p<0.01, *** p<0.001
{com}. {c )-}
. 
. 
. 
. *** Table G.3. Disaggregating effect of coorections by religion and partisanship
. {c -(}
. eststo clear
. 
. **Model 1: Outgroup: Interaction between generic correction and Hindu**
. reg feel_outgroup i.treat_idol_correct##i.resp_hindu i.treat_idol_priest $X_full if treat_ft==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,949
                                                {txt}F(7, 1941)        =  {res}     8.32
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0297
                                                {txt}Root MSE          =    {res} 27.707

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 31}{c |}{col 43}    Robust
{col 1}                feel_outgroup{col 31}{c |}      Coef.{col 43}   Std. Err.{col 55}      t{col 63}   P>|t|{col 71}     [95% Con{col 84}f. Interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}treat_idol_correct {c |}
{space 10}Generic correction  {c |}{col 31}{res}{space 2}-2.283656{col 43}{space 2} 2.936838{col 54}{space 1}   -0.78{col 63}{space 3}0.437{col 71}{space 4}-8.043345{col 84}{space 3} 3.476033
{txt}{space 29} {c |}
{space 19}resp_hindu {c |}
{space 23}Hindu  {c |}{col 31}{res}{space 2} -11.2575{col 43}{space 2}  2.02211{col 54}{space 1}   -5.57{col 63}{space 3}0.000{col 71}{space 4}-15.22324{col 84}{space 3}-7.291767
{txt}{space 29} {c |}
treat_idol_correct#resp_hindu {c |}
{space 4}Generic correction#Hindu  {c |}{col 31}{res}{space 2} .7663644{col 43}{space 2} 3.208236{col 54}{space 1}    0.24{col 63}{space 3}0.811{col 71}{space 4}-5.525587{col 84}{space 3} 7.058315
{txt}{space 29} {c |}
{space 12}treat_idol_priest {c |}
{space 11}Priest correction  {c |}{col 31}{res}{space 2}-2.341424{col 43}{space 2} 1.556171{col 54}{space 1}   -1.50{col 63}{space 3}0.133{col 71}{space 4}-5.393367{col 84}{space 3}  .710518
{txt}{space 26}age {c |}{col 31}{res}{space 2}-.8541322{col 43}{space 2}  2.07267{col 54}{space 1}   -0.41{col 63}{space 3}0.680{col 71}{space 4}-4.919025{col 84}{space 3}  3.21076
{txt}{space 23}female {c |}{col 31}{res}{space 2} 1.832661{col 43}{space 2} 1.270609{col 54}{space 1}    1.44{col 63}{space 3}0.149{col 71}{space 4}-.6592406{col 84}{space 3} 4.324563
{txt}{space 26}edu {c |}{col 31}{res}{space 2}-.7079056{col 43}{space 2} .9252257{col 54}{space 1}   -0.77{col 63}{space 3}0.444{col 71}{space 4}-2.522446{col 84}{space 3} 1.106635
{txt}{space 24}_cons {c |}{col 31}{res}{space 2} 65.20752{col 43}{space 2} 8.095251{col 54}{space 1}    8.06{col 63}{space 3}0.000{col 71}{space 4} 49.33122{col 84}{space 3} 81.08382
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store ACorrA
. 
. **Model 2: Outgroup: Interaction between generic correction and BJP**
. reg feel_outgroup i.treat_idol_correct##i.vote_bjp i.treat_idol_priest $X_full if treat_ft==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,949
                                                {txt}F(7, 1941)        =  {res}    11.24
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0350
                                                {txt}Root MSE          =    {res} 27.631

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}              feel_outgroup{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}treat_idol_correct {c |}
{space 8}Generic correction  {c |}{col 29}{res}{space 2}-.3079009{col 41}{space 2} 1.701913{col 52}{space 1}   -0.18{col 61}{space 3}0.856{col 69}{space 4}-3.645671{col 82}{space 3} 3.029869
{txt}{space 17}1.vote_bjp {c |}{col 29}{res}{space 2}-9.985299{col 41}{space 2} 1.741406{col 52}{space 1}   -5.73{col 61}{space 3}0.000{col 69}{space 4}-13.40052{col 82}{space 3}-6.570076
{txt}{space 27} {c |}
treat_idol_correct#vote_bjp {c |}
{space 6}Generic correction#1  {c |}{col 29}{res}{space 2}-4.519395{col 41}{space 2} 2.960576{col 52}{space 1}   -1.53{col 61}{space 3}0.127{col 69}{space 4}-10.32564{col 82}{space 3} 1.286847
{txt}{space 27} {c |}
{space 10}treat_idol_priest {c |}
{space 9}Priest correction  {c |}{col 29}{res}{space 2}-2.227445{col 41}{space 2} 1.559376{col 52}{space 1}   -1.43{col 61}{space 3}0.153{col 69}{space 4}-5.285672{col 82}{space 3} .8307831
{txt}{space 24}age {c |}{col 29}{res}{space 2}-2.763239{col 41}{space 2} 2.045477{col 52}{space 1}   -1.35{col 61}{space 3}0.177{col 69}{space 4}-6.774802{col 82}{space 3} 1.248324
{txt}{space 21}female {c |}{col 29}{res}{space 2} 1.174448{col 41}{space 2} 1.266229{col 52}{space 1}    0.93{col 61}{space 3}0.354{col 69}{space 4}-1.308864{col 82}{space 3} 3.657761
{txt}{space 24}edu {c |}{col 29}{res}{space 2}-.9528957{col 41}{space 2} .9240032{col 52}{space 1}   -1.03{col 61}{space 3}0.303{col 69}{space 4}-2.765039{col 82}{space 3} .8592474
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 65.98065{col 41}{space 2} 8.060992{col 52}{space 1}    8.19{col 61}{space 3}0.000{col 69}{space 4} 50.17154{col 82}{space 3} 81.78976
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store ACorrB
. 
. **Model 3: Outgroup: Interaction between generic correction, Hindu, and BJP**
. reg feel_outgroup i.treat_idol_correct##i.resp_hindu##i.vote_bjp i.treat_idol_priest $X_full if treat_ft==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,949
                                                {txt}F(11, 1937)       =  {res}    16.48
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0555
                                                {txt}Root MSE          =    {res} 27.363

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 40}{c |}{col 52}    Robust
{col 1}                         feel_outgroup{col 40}{c |}      Coef.{col 52}   Std. Err.{col 64}      t{col 72}   P>|t|{col 80}     [95% Con{col 93}f. Interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}treat_idol_correct {c |}
{space 19}Generic correction  {c |}{col 40}{res}{space 2}-2.097054{col 52}{space 2} 3.003126{col 63}{space 1}   -0.70{col 72}{space 3}0.485{col 80}{space 4}-7.986753{col 93}{space 3} 3.792645
{txt}{space 38} {c |}
{space 28}resp_hindu {c |}
{space 32}Hindu  {c |}{col 40}{res}{space 2}-8.302017{col 52}{space 2}  2.15524{col 63}{space 1}   -3.85{col 72}{space 3}0.000{col 80}{space 4}-12.52885{col 93}{space 3}-4.075183
{txt}{space 38} {c |}
{space 9}treat_idol_correct#resp_hindu {c |}
{space 13}Generic correction#Hindu  {c |}{col 40}{res}{space 2} 2.057061{col 52}{space 2} 3.411599{col 63}{space 1}    0.60{col 72}{space 3}0.547{col 80}{space 4} -4.63373{col 93}{space 3} 8.747853
{txt}{space 38} {c |}
{space 28}1.vote_bjp {c |}{col 40}{res}{space 2} 15.31795{col 52}{space 2} 3.577002{col 63}{space 1}    4.28{col 72}{space 3}0.000{col 80}{space 4} 8.302775{col 93}{space 3} 22.33313
{txt}{space 38} {c |}
{space 11}treat_idol_correct#vote_bjp {c |}
{space 17}Generic correction#1  {c |}{col 40}{res}{space 2}-.1020791{col 52}{space 2} 9.309295{col 63}{space 1}   -0.01{col 72}{space 3}0.991{col 80}{space 4}-18.35937{col 93}{space 3} 18.15521
{txt}{space 38} {c |}
{space 19}resp_hindu#vote_bjp {c |}
{space 30}Hindu#1  {c |}{col 40}{res}{space 2}-24.41523{col 52}{space 2}  3.98923{col 63}{space 1}   -6.12{col 72}{space 3}0.000{col 80}{space 4}-32.23887{col 93}{space 3}-16.59159
{txt}{space 38} {c |}
treat_idol_correct#resp_hindu#vote_bjp {c |}
{space 11}Generic correction#Hindu#1  {c |}{col 40}{res}{space 2}-4.574646{col 52}{space 2} 9.818472{col 63}{space 1}   -0.47{col 72}{space 3}0.641{col 80}{space 4}-23.83053{col 93}{space 3} 14.68124
{txt}{space 38} {c |}
{space 21}treat_idol_priest {c |}
{space 20}Priest correction  {c |}{col 40}{res}{space 2}-2.364507{col 52}{space 2} 1.542959{col 63}{space 1}   -1.53{col 72}{space 3}0.126{col 80}{space 4}-5.390541{col 93}{space 3} .6615275
{txt}{space 35}age {c |}{col 40}{res}{space 2}-1.235236{col 52}{space 2} 2.048412{col 63}{space 1}   -0.60{col 72}{space 3}0.547{col 80}{space 4}-5.252559{col 93}{space 3} 2.782088
{txt}{space 32}female {c |}{col 40}{res}{space 2} 1.275975{col 52}{space 2} 1.255715{col 63}{space 1}    1.02{col 72}{space 3}0.310{col 80}{space 4} -1.18672{col 93}{space 3}  3.73867
{txt}{space 35}edu {c |}{col 40}{res}{space 2}-.1283042{col 52}{space 2}  .925057{col 63}{space 1}   -0.14{col 72}{space 3}0.890{col 80}{space 4}-1.942516{col 93}{space 3} 1.685908
{txt}{space 33}_cons {c |}{col 40}{res}{space 2} 65.69015{col 52}{space 2} 8.018173{col 63}{space 1}    8.19{col 72}{space 3}0.000{col 80}{space 4} 49.96499{col 93}{space 3}  81.4153
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store ACorrAB
. 
. **Model 4: Outgroup: Interaction between priest correction and Hindu**
. reg feel_outgroup i.treat_idol_priest##i.resp_hindu i.treat_idol_correct $X_full if treat_ft==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,949
                                                {txt}F(7, 1941)        =  {res}     8.39
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0301
                                                {txt}Root MSE          =    {res} 27.701

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42}    Robust
{col 1}               feel_outgroup{col 30}{c |}      Coef.{col 42}   Std. Err.{col 54}      t{col 62}   P>|t|{col 70}     [95% Con{col 83}f. Interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}treat_idol_priest {c |}
{space 10}Priest correction  {c |}{col 30}{res}{space 2} .0610225{col 42}{space 2} 3.186204{col 53}{space 1}    0.02{col 62}{space 3}0.985{col 70}{space 4}-6.187719{col 83}{space 3} 6.309764
{txt}{space 28} {c |}
{space 18}resp_hindu {c |}
{space 22}Hindu  {c |}{col 30}{res}{space 2}-10.01328{col 42}{space 2} 1.881619{col 53}{space 1}   -5.32{col 62}{space 3}0.000{col 70}{space 4}-13.70348{col 83}{space 3} -6.32307
{txt}{space 28} {c |}
treat_idol_priest#resp_hindu {c |}
{space 4}Priest correction#Hindu  {c |}{col 30}{res}{space 2}-3.031628{col 42}{space 2} 3.412405{col 53}{space 1}   -0.89{col 62}{space 3}0.374{col 70}{space 4}-9.723991{col 83}{space 3} 3.660735
{txt}{space 28} {c |}
{space 10}treat_idol_correct {c |}
{space 9}Generic correction  {c |}{col 30}{res}{space 2}-1.658139{col 42}{space 2} 1.533943{col 53}{space 1}   -1.08{col 62}{space 3}0.280{col 70}{space 4}-4.666489{col 83}{space 3} 1.350211
{txt}{space 25}age {c |}{col 30}{res}{space 2}-.7941968{col 42}{space 2} 2.074873{col 53}{space 1}   -0.38{col 62}{space 3}0.702{col 70}{space 4} -4.86341{col 83}{space 3} 3.275016
{txt}{space 22}female {c |}{col 30}{res}{space 2} 1.803242{col 42}{space 2} 1.269921{col 53}{space 1}    1.42{col 62}{space 3}0.156{col 70}{space 4} -.687311{col 83}{space 3} 4.293795
{txt}{space 25}edu {c |}{col 30}{res}{space 2}-.6892439{col 42}{space 2} .9251578{col 53}{space 1}   -0.75{col 62}{space 3}0.456{col 70}{space 4}-2.503651{col 83}{space 3} 1.125164
{txt}{space 23}_cons {c |}{col 30}{res}{space 2} 63.99227{col 42}{space 2}  8.15747{col 53}{space 1}    7.84{col 62}{space 3}0.000{col 70}{space 4} 47.99395{col 83}{space 3} 79.99059
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store ACorrC
. 
. **Model 5: Outgroup: Interaction between priest correction and BJP**
. reg feel_outgroup i.treat_idol_priest##i.vote_bjp i.treat_idol_correct $X_full if treat_ft==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,949
                                                {txt}F(7, 1941)        =  {res}    11.17
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0349
                                                {txt}Root MSE          =    {res} 27.632

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}             feel_outgroup{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      t{col 60}   P>|t|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}treat_idol_priest {c |}
{space 8}Priest correction  {c |}{col 28}{res}{space 2}-3.255826{col 40}{space 2} 1.764434{col 51}{space 1}   -1.85{col 60}{space 3}0.065{col 68}{space 4}-6.716211{col 81}{space 3} .2045598
{txt}{space 16}1.vote_bjp {c |}{col 28}{res}{space 2}-13.01542{col 40}{space 2} 1.734168{col 51}{space 1}   -7.51{col 60}{space 3}0.000{col 68}{space 4}-16.41645{col 81}{space 3}-9.614391
{txt}{space 26} {c |}
treat_idol_priest#vote_bjp {c |}
{space 6}Priest correction#1  {c |}{col 28}{res}{space 2} 4.473047{col 40}{space 2} 2.968514{col 51}{space 1}    1.51{col 60}{space 3}0.132{col 68}{space 4}-1.348763{col 81}{space 3} 10.29486
{txt}{space 26} {c |}
{space 8}treat_idol_correct {c |}
{space 7}Generic correction  {c |}{col 28}{res}{space 2}-1.346578{col 40}{space 2} 1.520678{col 51}{space 1}   -0.89{col 60}{space 3}0.376{col 68}{space 4}-4.328912{col 81}{space 3} 1.635756
{txt}{space 23}age {c |}{col 28}{res}{space 2}-2.790403{col 40}{space 2} 2.043429{col 51}{space 1}   -1.37{col 60}{space 3}0.172{col 68}{space 4}-6.797949{col 81}{space 3} 1.217142
{txt}{space 20}female {c |}{col 28}{res}{space 2} 1.175481{col 40}{space 2} 1.266552{col 51}{space 1}    0.93{col 60}{space 3}0.353{col 68}{space 4}-1.308465{col 81}{space 3} 3.659426
{txt}{space 23}edu {c |}{col 28}{res}{space 2}-1.010927{col 40}{space 2} .9229539{col 51}{space 1}   -1.10{col 60}{space 3}0.274{col 68}{space 4}-2.821012{col 81}{space 3} .7991581
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}  66.8473{col 40}{space 2}  8.03451{col 51}{space 1}    8.32{col 60}{space 3}0.000{col 68}{space 4} 51.09012{col 81}{space 3} 82.60448
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store ACorrD
. 
. **Model 6: Outgroup: Interaction between priest correction, Hindu, and BJP**
. reg feel_outgroup i.treat_idol_priest##i.resp_hindu##i.vote_bjp i.treat_idol_correct $X_full if treat_ft==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,949
                                                {txt}F(11, 1937)       =  {res}    19.38
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0560
                                                {txt}Root MSE          =    {res} 27.356

{txt}{hline 38}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 39}{c |}{col 51}    Robust
{col 1}                        feel_outgroup{col 39}{c |}      Coef.{col 51}   Std. Err.{col 63}      t{col 71}   P>|t|{col 79}     [95% Con{col 92}f. Interval]
{hline 38}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}treat_idol_priest {c |}
{space 19}Priest correction  {c |}{col 39}{res}{space 2}-.3702262{col 51}{space 2} 3.282907{col 62}{space 1}   -0.11{col 71}{space 3}0.910{col 79}{space 4}-6.808628{col 92}{space 3} 6.068175
{txt}{space 37} {c |}
{space 27}resp_hindu {c |}
{space 31}Hindu  {c |}{col 39}{res}{space 2}-6.317453{col 51}{space 2}  1.99457{col 62}{space 1}   -3.17{col 71}{space 3}0.002{col 79}{space 4}-10.22918{col 92}{space 3}-2.405723
{txt}{space 37} {c |}
{space 9}treat_idol_priest#resp_hindu {c |}
{space 13}Priest correction#Hindu  {c |}{col 39}{res}{space 2}-3.893324{col 51}{space 2} 3.641285{col 62}{space 1}   -1.07{col 71}{space 3}0.285{col 79}{space 4}-11.03457{col 92}{space 3} 3.247926
{txt}{space 37} {c |}
{space 27}1.vote_bjp {c |}{col 39}{res}{space 2}  11.5321{col 51}{space 2} 4.806842{col 62}{space 1}    2.40{col 71}{space 3}0.017{col 79}{space 4} 2.104969{col 92}{space 3} 20.95923
{txt}{space 37} {c |}
{space 11}treat_idol_priest#vote_bjp {c |}
{space 17}Priest correction#1  {c |}{col 39}{res}{space 2} 8.395959{col 51}{space 2} 6.361046{col 62}{space 1}    1.32{col 71}{space 3}0.187{col 79}{space 4}-4.079258{col 92}{space 3} 20.87118
{txt}{space 37} {c |}
{space 18}resp_hindu#vote_bjp {c |}
{space 29}Hindu#1  {c |}{col 39}{res}{space 2}-23.75266{col 51}{space 2} 5.140516{col 62}{space 1}   -4.62{col 71}{space 3}0.000{col 79}{space 4}-33.83419{col 92}{space 3}-13.67114
{txt}{space 37} {c |}
treat_idol_priest#resp_hindu#vote_bjp {c |}
{space 11}Priest correction#Hindu#1  {c |}{col 39}{res}{space 2}-3.789161{col 51}{space 2} 7.060658{col 62}{space 1}   -0.54{col 71}{space 3}0.592{col 79}{space 4}-17.63645{col 92}{space 3} 10.05813
{txt}{space 37} {c |}
{space 19}treat_idol_correct {c |}
{space 18}Generic correction  {c |}{col 39}{res}{space 2}-1.509135{col 51}{space 2} 1.512333{col 62}{space 1}   -1.00{col 71}{space 3}0.318{col 79}{space 4}-4.475108{col 92}{space 3} 1.456837
{txt}{space 34}age {c |}{col 39}{res}{space 2} -1.17691{col 51}{space 2} 2.049947{col 62}{space 1}   -0.57{col 71}{space 3}0.566{col 79}{space 4}-5.197244{col 92}{space 3} 2.843425
{txt}{space 31}female {c |}{col 39}{res}{space 2} 1.259305{col 51}{space 2} 1.253792{col 62}{space 1}    1.00{col 71}{space 3}0.315{col 79}{space 4}-1.199618{col 92}{space 3} 3.718228
{txt}{space 34}edu {c |}{col 39}{res}{space 2}-.1720586{col 51}{space 2} .9235533{col 62}{space 1}   -0.19{col 71}{space 3}0.852{col 79}{space 4}-1.983322{col 92}{space 3} 1.639204
{txt}{space 32}_cons {c |}{col 39}{res}{space 2} 64.68559{col 51}{space 2} 8.050444{col 62}{space 1}    8.04{col 71}{space 3}0.000{col 79}{space 4} 48.89715{col 92}{space 3} 80.47404
{txt}{hline 38}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store ACorrCD
. 
. estout ACorrA ACorrB ACorrAB ACorrC ACorrD ACorrCD , style(tex)  cells( b(star fmt(%9.3f) label(Coef.)) se(label(Std. err.) par) )  stats(r2 r2_a N, fmt(%9.3f %9.0g) labels(R-squared)) legend label collabels(none) varlabels(_cons Constant) starlevels($^\dag$ 0.10 * 0.05 ** 0.01 *** 0.001) keep(1.treat_idol_correct 1.treat_idol_priest 1.treat_idol_priest#1.resp_hindu 1.treat_idol_correct#1.resp_hindu 1.treat_idol_correct#1.resp_hindu#1.vote_bjp 1.treat_idol_priest#1.vote_bjp 1.treat_idol_correct#1.vote_bjp 1.resp_hindu 1.vote_bjp 1.treat_idol_priest#1.resp_hindu#1.vote_bjp age female edu 1.resp_hindu#1.vote_bjp _cons)
{res}
                    &      ACorrA   &      ACorrB   &     ACorrAB   &      ACorrC   &      ACorrD   &     ACorrCD   \\
Generic correction  &      -2.284   &      -0.308   &      -2.097   &      -1.658   &      -1.347   &      -1.509   \\
                    &     (2.937)   &     (1.702)   &     (3.003)   &     (1.534)   &     (1.521)   &     (1.512)   \\
Hindu               &     -11.258***&               &      -8.302***&     -10.013***&               &      -6.317** \\
                    &     (2.022)   &               &     (2.155)   &     (1.882)   &               &     (1.995)   \\
Generic correction $\times$ Hindu&       0.766   &               &       2.057   &               &               &               \\
                    &     (3.208)   &               &     (3.412)   &               &               &               \\
Priest correction   &      -2.341   &      -2.227   &      -2.365   &       0.061   &  -3.256$^\dag$&      -0.370   \\
                    &     (1.556)   &     (1.559)   &     (1.543)   &     (3.186)   &     (1.764)   &     (3.283)   \\
Age                 &      -0.854   &      -2.763   &      -1.235   &      -0.794   &      -2.790   &      -1.177   \\
                    &     (2.073)   &     (2.045)   &     (2.048)   &     (2.075)   &     (2.043)   &     (2.050)   \\
Gender              &       1.833   &       1.174   &       1.276   &       1.803   &       1.175   &       1.259   \\
                    &     (1.271)   &     (1.266)   &     (1.256)   &     (1.270)   &     (1.267)   &     (1.254)   \\
Education           &      -0.708   &      -0.953   &      -0.128   &      -0.689   &      -1.011   &      -0.172   \\
                    &     (0.925)   &     (0.924)   &     (0.925)   &     (0.925)   &     (0.923)   &     (0.924)   \\
BJP Voter=1         &               &      -9.985***&      15.318***&               &     -13.015***&      11.532*  \\
                    &               &     (1.741)   &     (3.577)   &               &     (1.734)   &     (4.807)   \\
Generic correction $\times$ BJP Voter=1&               &      -4.519   &      -0.102   &               &               &               \\
                    &               &     (2.961)   &     (9.309)   &               &               &               \\
Hindu $\times$ BJP Voter=1&               &               &     -24.415***&               &               &     -23.753***\\
                    &               &               &     (3.989)   &               &               &     (5.141)   \\
Generic correction $\times$ Hindu $\times$ BJP Voter=1&               &               &      -4.575   &               &               &               \\
                    &               &               &     (9.818)   &               &               &               \\
Priest correction $\times$ Hindu&               &               &               &      -3.032   &               &      -3.893   \\
                    &               &               &               &     (3.412)   &               &     (3.641)   \\
Priest correction $\times$ BJP Voter=1&               &               &               &               &       4.473   &       8.396   \\
                    &               &               &               &               &     (2.969)   &     (6.361)   \\
Priest correction $\times$ Hindu $\times$ BJP Voter=1&               &               &               &               &               &      -3.789   \\
                    &               &               &               &               &               &     (7.061)   \\
Constant            &      65.208***&      65.981***&      65.690***&      63.992***&      66.847***&      64.686***\\
                    &     (8.095)   &     (8.061)   &     (8.018)   &     (8.157)   &     (8.035)   &     (8.050)   \\
R-squared           &       0.030   &       0.035   &       0.056   &       0.030   &       0.035   &       0.056   \\
r2_a                &    .0261606   &     .031482   &    .0501657   &    .0265598   &    .0314184   &    .0506202   \\
N                   &        1949   &        1949   &        1949   &        1949   &        1949   &        1949   \\
$^\dag$ p<0.10, * p<0.05, ** p<0.01, *** p<0.001
{com}. {c )-}
. 
. {c )-}
{txt}
{com}. 
. 
. 
. ********************************************************************************
. ***Appendix H. Effect of corrections on perceived accuracy
. ********************************************************************************
. {c -(}
. 
. *** Table H.1. Effect of corrections on reported accuracy of misinformation message
. {c -(} 
. eststo clear
. 
. **Model 1: Generic correction interaction with Hindu**
. reg perc_accurate i.treat_idol_correct##i.resp_hindu i.treat_idol_priest $X_full treat_ft , robust

{txt}Linear regression                               Number of obs     = {res}     1,899
                                                {txt}F(8, 1890)        =  {res}    28.22
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0716
                                                {txt}Root MSE          =    {res} .38168

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 31}{c |}{col 43}    Robust
{col 1}                perc_accurate{col 31}{c |}      Coef.{col 43}   Std. Err.{col 55}      t{col 63}   P>|t|{col 71}     [95% Con{col 84}f. Interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}treat_idol_correct {c |}
{space 10}Generic correction  {c |}{col 31}{res}{space 2} -.056993{col 43}{space 2} .0273881{col 54}{space 1}   -2.08{col 63}{space 3}0.038{col 71}{space 4}-.1107071{col 84}{space 3}-.0032788
{txt}{space 29} {c |}
{space 19}resp_hindu {c |}
{space 23}Hindu  {c |}{col 31}{res}{space 2} .1974733{col 43}{space 2} .0223763{col 54}{space 1}    8.83{col 63}{space 3}0.000{col 71}{space 4} .1535885{col 84}{space 3} .2413581
{txt}{space 29} {c |}
treat_idol_correct#resp_hindu {c |}
{space 4}Generic correction#Hindu  {c |}{col 31}{res}{space 2} .0618034{col 43}{space 2} .0342137{col 54}{space 1}    1.81{col 63}{space 3}0.071{col 71}{space 4}-.0052972{col 84}{space 3}  .128904
{txt}{space 29} {c |}
{space 12}treat_idol_priest {c |}
{space 11}Priest correction  {c |}{col 31}{res}{space 2}-.0168303{col 43}{space 2}  .021853{col 54}{space 1}   -0.77{col 63}{space 3}0.441{col 71}{space 4}-.0596887{col 84}{space 3} .0260281
{txt}{space 26}age {c |}{col 31}{res}{space 2} .0175307{col 43}{space 2} .0304466{col 54}{space 1}    0.58{col 63}{space 3}0.565{col 71}{space 4}-.0421819{col 84}{space 3} .0772432
{txt}{space 23}female {c |}{col 31}{res}{space 2} .0063379{col 43}{space 2} .0178634{col 54}{space 1}    0.35{col 63}{space 3}0.723{col 71}{space 4}-.0286962{col 84}{space 3} .0413719
{txt}{space 26}edu {c |}{col 31}{res}{space 2} .0487992{col 43}{space 2} .0144031{col 54}{space 1}    3.39{col 63}{space 3}0.001{col 71}{space 4} .0205515{col 84}{space 3} .0770469
{txt}{space 21}treat_ft {c |}{col 31}{res}{space 2} .0108173{col 43}{space 2} .0203046{col 54}{space 1}    0.53{col 63}{space 3}0.594{col 71}{space 4}-.0290046{col 84}{space 3} .0506391
{txt}{space 24}_cons {c |}{col 31}{res}{space 2} .0296034{col 43}{space 2} .1211823{col 54}{space 1}    0.24{col 63}{space 3}0.807{col 71}{space 4}-.2080617{col 84}{space 3} .2672686
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store ACorrA
. 
. **Model 2: Generic correction interaction with BJP**
. reg perc_accurate i.treat_idol_correct##i.vote_bjp i.treat_idol_priest $X_full  treat_ft , robust

{txt}Linear regression                               Number of obs     = {res}     1,899
                                                {txt}F(8, 1890)        =  {res}    34.20
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1445
                                                {txt}Root MSE          =    {res} .36639

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}              perc_accurate{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}treat_idol_correct {c |}
{space 8}Generic correction  {c |}{col 29}{res}{space 2}-.0440448{col 41}{space 2}  .021935{col 52}{space 1}   -2.01{col 61}{space 3}0.045{col 69}{space 4}-.0870642{col 82}{space 3}-.0010254
{txt}{space 17}1.vote_bjp {c |}{col 29}{res}{space 2} .2899382{col 41}{space 2}  .025921{col 52}{space 1}   11.19{col 61}{space 3}0.000{col 69}{space 4} .2391015{col 82}{space 3} .3407749
{txt}{space 27} {c |}
treat_idol_correct#vote_bjp {c |}
{space 6}Generic correction#1  {c |}{col 29}{res}{space 2} .0884918{col 41}{space 2} .0434409{col 52}{space 1}    2.04{col 61}{space 3}0.042{col 69}{space 4} .0032946{col 82}{space 3} .1736889
{txt}{space 27} {c |}
{space 10}treat_idol_priest {c |}
{space 9}Priest correction  {c |}{col 29}{res}{space 2}-.0149513{col 41}{space 2} .0211359{col 52}{space 1}   -0.71{col 61}{space 3}0.479{col 69}{space 4}-.0564034{col 82}{space 3} .0265008
{txt}{space 24}age {c |}{col 29}{res}{space 2} .0465224{col 41}{space 2}  .029123{col 52}{space 1}    1.60{col 61}{space 3}0.110{col 69}{space 4}-.0105942{col 82}{space 3} .1036391
{txt}{space 21}female {c |}{col 29}{res}{space 2} .0200875{col 41}{space 2} .0172292{col 52}{space 1}    1.17{col 61}{space 3}0.244{col 69}{space 4}-.0137028{col 82}{space 3} .0538777
{txt}{space 24}edu {c |}{col 29}{res}{space 2} .0419669{col 41}{space 2} .0137425{col 52}{space 1}    3.05{col 61}{space 3}0.002{col 69}{space 4} .0150149{col 82}{space 3}  .068919
{txt}{space 19}treat_ft {c |}{col 29}{res}{space 2} .0131147{col 41}{space 2} .0195094{col 52}{space 1}    0.67{col 61}{space 3}0.502{col 69}{space 4}-.0251475{col 82}{space 3} .0513768
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-.0008143{col 41}{space 2} .1161406{col 52}{space 1}   -0.01{col 61}{space 3}0.994{col 69}{space 4}-.2285917{col 82}{space 3}  .226963
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store ACorrB
. 
. **Model 3: Priest correction interaction with Hindu**
. reg perc_accurate i.treat_idol_priest##i.resp_hindu i.treat_idol_correct $X_full treat_ft , robust

{txt}Linear regression                               Number of obs     = {res}     1,899
                                                {txt}F(8, 1890)        =  {res}    26.54
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0710
                                                {txt}Root MSE          =    {res}  .3818

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42}    Robust
{col 1}               perc_accurate{col 30}{c |}      Coef.{col 42}   Std. Err.{col 54}      t{col 62}   P>|t|{col 70}     [95% Con{col 83}f. Interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}treat_idol_priest {c |}
{space 10}Priest correction  {c |}{col 30}{res}{space 2} .0151693{col 42}{space 2} .0316436{col 53}{space 1}    0.48{col 62}{space 3}0.632{col 70}{space 4}-.0468908{col 83}{space 3} .0772294
{txt}{space 28} {c |}
{space 18}resp_hindu {c |}
{space 22}Hindu  {c |}{col 30}{res}{space 2} .2331172{col 42}{space 2} .0206677{col 53}{space 1}   11.28{col 62}{space 3}0.000{col 70}{space 4} .1925833{col 83}{space 3} .2736511
{txt}{space 28} {c |}
treat_idol_priest#resp_hindu {c |}
{space 4}Priest correction#Hindu  {c |}{col 30}{res}{space 2}-.0418877{col 42}{space 2} .0366289{col 53}{space 1}   -1.14{col 62}{space 3}0.253{col 70}{space 4} -.113725{col 83}{space 3} .0299496
{txt}{space 28} {c |}
{space 10}treat_idol_correct {c |}
{space 9}Generic correction  {c |}{col 30}{res}{space 2}-.0108017{col 42}{space 2} .0216503{col 53}{space 1}   -0.50{col 62}{space 3}0.618{col 70}{space 4}-.0532627{col 83}{space 3} .0316593
{txt}{space 25}age {c |}{col 30}{res}{space 2} .0185312{col 42}{space 2} .0304939{col 53}{space 1}    0.61{col 62}{space 3}0.543{col 70}{space 4}-.0412741{col 83}{space 3} .0783365
{txt}{space 22}female {c |}{col 30}{res}{space 2} .0070693{col 42}{space 2} .0178207{col 53}{space 1}    0.40{col 62}{space 3}0.692{col 70}{space 4} -.027881{col 83}{space 3} .0420196
{txt}{space 25}edu {c |}{col 30}{res}{space 2} .0492817{col 42}{space 2} .0144267{col 53}{space 1}    3.42{col 62}{space 3}0.001{col 70}{space 4} .0209878{col 83}{space 3} .0775757
{txt}{space 20}treat_ft {c |}{col 30}{res}{space 2} .0106359{col 42}{space 2} .0203234{col 53}{space 1}    0.52{col 62}{space 3}0.601{col 70}{space 4}-.0292227{col 83}{space 3} .0504946
{txt}{space 23}_cons {c |}{col 30}{res}{space 2}-.0019425{col 42}{space 2} .1215667{col 53}{space 1}   -0.02{col 62}{space 3}0.987{col 70}{space 4}-.2403614{col 83}{space 3} .2364765
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store ACorrD
. 
. **Model 4: Priest correction interaction with BJP**
. reg perc_accurate i.treat_idol_priest##i.vote_bjp i.treat_idol_correct $X_full treat_ft , robust

{txt}Linear regression                               Number of obs     = {res}     1,899
                                                {txt}F(8, 1890)        =  {res}    33.42
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1431
                                                {txt}Root MSE          =    {res}  .3667

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}             perc_accurate{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      t{col 60}   P>|t|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}treat_idol_priest {c |}
{space 8}Priest correction  {c |}{col 28}{res}{space 2}-.0003867{col 40}{space 2} .0228129{col 51}{space 1}   -0.02{col 60}{space 3}0.986{col 68}{space 4}-.0451278{col 81}{space 3} .0443543
{txt}{space 16}1.vote_bjp {c |}{col 28}{res}{space 2}  .338004{col 40}{space 2} .0258245{col 51}{space 1}   13.09{col 60}{space 3}0.000{col 68}{space 4} .2873565{col 81}{space 3} .3886516
{txt}{space 26} {c |}
treat_idol_priest#vote_bjp {c |}
{space 6}Priest correction#1  {c |}{col 28}{res}{space 2} -.053628{col 40}{space 2}    .0436{col 51}{space 1}   -1.23{col 60}{space 3}0.219{col 68}{space 4}-.1391372{col 81}{space 3} .0318811
{txt}{space 26} {c |}
{space 8}treat_idol_correct {c |}
{space 7}Generic correction  {c |}{col 28}{res}{space 2}-.0199732{col 40}{space 2} .0206932{col 51}{space 1}   -0.97{col 60}{space 3}0.335{col 68}{space 4}-.0605572{col 81}{space 3} .0206108
{txt}{space 23}age {c |}{col 28}{res}{space 2} .0477628{col 40}{space 2}  .029178{col 51}{space 1}    1.64{col 60}{space 3}0.102{col 68}{space 4}-.0094616{col 81}{space 3} .1049872
{txt}{space 20}female {c |}{col 28}{res}{space 2} .0212066{col 40}{space 2} .0172273{col 51}{space 1}    1.23{col 60}{space 3}0.218{col 68}{space 4}-.0125799{col 81}{space 3} .0549931
{txt}{space 23}edu {c |}{col 28}{res}{space 2} .0427327{col 40}{space 2} .0137757{col 51}{space 1}    3.10{col 60}{space 3}0.002{col 68}{space 4} .0157155{col 81}{space 3} .0697498
{txt}{space 18}treat_ft {c |}{col 28}{res}{space 2} .0133899{col 40}{space 2} .0195656{col 51}{space 1}    0.68{col 60}{space 3}0.494{col 68}{space 4}-.0249825{col 81}{space 3} .0517623
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-.0199978{col 40}{space 2} .1163059{col 51}{space 1}   -0.17{col 60}{space 3}0.864{col 68}{space 4}-.2480992{col 81}{space 3} .2081037
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store ACorrE
. 
. estout ACorrA ACorrB  ACorrD  ACorrE  , style(tex)  cells( b(star fmt(%9.3f) label(Coef.)) se(label(Std. err.) par) )  stats(r2 r2_a N, fmt(%9.3f %9.0g) labels(R-squared)) legend label collabels(none) varlabels(_cons Constant) starlevels($^\dag$ 0.10 * 0.05 ** 0.01 *** 0.001) keep(1.treat_idol_correct 1.treat_idol_priest 1.treat_idol_priest#1.resp_hindu 1.treat_idol_correct#1.resp_hindu 1.treat_idol_priest#1.vote_bjp 1.treat_idol_correct#1.vote_bjp  1.resp_hindu 1.vote_bjp  age female edu treat_ft _cons)
{res}
                    &      ACorrA   &      ACorrB   &      ACorrD   &      ACorrE   \\
Generic correction  &      -0.057*  &      -0.044*  &      -0.011   &      -0.020   \\
                    &     (0.027)   &     (0.022)   &     (0.022)   &     (0.021)   \\
Hindu               &       0.197***&               &       0.233***&               \\
                    &     (0.022)   &               &     (0.021)   &               \\
Generic correction $\times$ Hindu&   0.062$^\dag$&               &               &               \\
                    &     (0.034)   &               &               &               \\
Priest correction   &      -0.017   &      -0.015   &       0.015   &      -0.000   \\
                    &     (0.022)   &     (0.021)   &     (0.032)   &     (0.023)   \\
Age                 &       0.018   &       0.047   &       0.019   &       0.048   \\
                    &     (0.030)   &     (0.029)   &     (0.030)   &     (0.029)   \\
Gender              &       0.006   &       0.020   &       0.007   &       0.021   \\
                    &     (0.018)   &     (0.017)   &     (0.018)   &     (0.017)   \\
Education           &       0.049***&       0.042** &       0.049***&       0.043** \\
                    &     (0.014)   &     (0.014)   &     (0.014)   &     (0.014)   \\
Prime               &       0.011   &       0.013   &       0.011   &       0.013   \\
                    &     (0.020)   &     (0.020)   &     (0.020)   &     (0.020)   \\
BJP Voter=1         &               &       0.290***&               &       0.338***\\
                    &               &     (0.026)   &               &     (0.026)   \\
Generic correction $\times$ BJP Voter=1&               &       0.088*  &               &               \\
                    &               &     (0.043)   &               &               \\
Priest correction $\times$ Hindu&               &               &      -0.042   &               \\
                    &               &               &     (0.037)   &               \\
Priest correction $\times$ BJP Voter=1&               &               &               &      -0.054   \\
                    &               &               &               &     (0.044)   \\
Constant            &       0.030   &      -0.001   &      -0.002   &      -0.020   \\
                    &     (0.121)   &     (0.116)   &     (0.122)   &     (0.116)   \\
R-squared           &       0.072   &       0.145   &       0.071   &       0.143   \\
r2_a                &    .0676924   &    .1408909   &    .0670807   &    .1394431   \\
N                   &        1899   &        1899   &        1899   &        1899   \\
$^\dag$ p<0.10, * p<0.05, ** p<0.01, *** p<0.001
{com}. {c )-}
. 
. 
. 
. *** Table H.2. Effect of corrections on propensity to share/forward misinformation message
. {c -(} 
. eststo clear
. 
. **Model 1: Generic correction interaction with Hindu**
. reg mes_forward i.treat_idol_correct##i.resp_hindu i.treat_idol_priest $X_full treat_ft , robust

{txt}Linear regression                               Number of obs     = {res}     2,246
                                                {txt}F(8, 2237)        =  {res}    12.53
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0367
                                                {txt}Root MSE          =    {res}  .3233

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 31}{c |}{col 43}    Robust
{col 1}                  mes_forward{col 31}{c |}      Coef.{col 43}   Std. Err.{col 55}      t{col 63}   P>|t|{col 71}     [95% Con{col 84}f. Interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}treat_idol_correct {c |}
{space 10}Generic correction  {c |}{col 31}{res}{space 2}-.0249956{col 43}{space 2} .0217192{col 54}{space 1}   -1.15{col 63}{space 3}0.250{col 71}{space 4}-.0675874{col 84}{space 3} .0175963
{txt}{space 29} {c |}
{space 19}resp_hindu {c |}
{space 23}Hindu  {c |}{col 31}{res}{space 2} .0931498{col 43}{space 2} .0173619{col 54}{space 1}    5.37{col 63}{space 3}0.000{col 71}{space 4} .0591027{col 84}{space 3} .1271969
{txt}{space 29} {c |}
treat_idol_correct#resp_hindu {c |}
{space 4}Generic correction#Hindu  {c |}{col 31}{res}{space 2} .0245382{col 43}{space 2} .0268795{col 54}{space 1}    0.91{col 63}{space 3}0.361{col 71}{space 4}-.0281732{col 84}{space 3} .0772495
{txt}{space 29} {c |}
{space 12}treat_idol_priest {c |}
{space 11}Priest correction  {c |}{col 31}{res}{space 2}-.0109824{col 43}{space 2} .0170316{col 54}{space 1}   -0.64{col 63}{space 3}0.519{col 71}{space 4}-.0443818{col 84}{space 3}  .022417
{txt}{space 26}age {c |}{col 31}{res}{space 2}-.0674872{col 43}{space 2} .0230311{col 54}{space 1}   -2.93{col 63}{space 3}0.003{col 71}{space 4}-.1126517{col 84}{space 3}-.0223226
{txt}{space 23}female {c |}{col 31}{res}{space 2}-.0634443{col 43}{space 2}  .013604{col 54}{space 1}   -4.66{col 63}{space 3}0.000{col 71}{space 4}-.0901221{col 84}{space 3}-.0367665
{txt}{space 26}edu {c |}{col 31}{res}{space 2} .0150008{col 43}{space 2} .0104905{col 54}{space 1}    1.43{col 63}{space 3}0.153{col 71}{space 4}-.0055714{col 84}{space 3}  .035573
{txt}{space 21}treat_ft {c |}{col 31}{res}{space 2} .0062875{col 43}{space 2} .0158333{col 54}{space 1}    0.40{col 63}{space 3}0.691{col 71}{space 4} -.024762{col 84}{space 3}  .037337
{txt}{space 24}_cons {c |}{col 31}{res}{space 2} .3495112{col 43}{space 2} .0914008{col 54}{space 1}    3.82{col 63}{space 3}0.000{col 71}{space 4} .1702718{col 84}{space 3} .5287505
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store ACorrA
. 
. **Model 2: Generic correction interaction with BJP**
. reg mes_forward i.treat_idol_correct##i.vote_bjp i.treat_idol_priest $X_full  treat_ft , robust

{txt}Linear regression                               Number of obs     = {res}     2,246
                                                {txt}F(8, 2237)        =  {res}    14.07
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0618
                                                {txt}Root MSE          =    {res} .31905

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                mes_forward{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}treat_idol_correct {c |}
{space 8}Generic correction  {c |}{col 29}{res}{space 2}   -.0142{col 41}{space 2} .0165197{col 52}{space 1}   -0.86{col 61}{space 3}0.390{col 69}{space 4}-.0465956{col 82}{space 3} .0181956
{txt}{space 17}1.vote_bjp {c |}{col 29}{res}{space 2} .1565283{col 41}{space 2} .0232649{col 52}{space 1}    6.73{col 61}{space 3}0.000{col 69}{space 4} .1109053{col 82}{space 3} .2021513
{txt}{space 27} {c |}
treat_idol_correct#vote_bjp {c |}
{space 6}Generic correction#1  {c |}{col 29}{res}{space 2} .0144561{col 41}{space 2} .0401032{col 52}{space 1}    0.36{col 61}{space 3}0.719{col 69}{space 4}-.0641873{col 82}{space 3} .0930996
{txt}{space 27} {c |}
{space 10}treat_idol_priest {c |}
{space 9}Priest correction  {c |}{col 29}{res}{space 2}-.0091785{col 41}{space 2}  .016811{col 52}{space 1}   -0.55{col 61}{space 3}0.585{col 69}{space 4}-.0421454{col 82}{space 3} .0237883
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0527712{col 41}{space 2} .0224167{col 52}{space 1}   -2.35{col 61}{space 3}0.019{col 69}{space 4}-.0967308{col 82}{space 3}-.0088116
{txt}{space 21}female {c |}{col 29}{res}{space 2}-.0529932{col 41}{space 2} .0134686{col 52}{space 1}   -3.93{col 61}{space 3}0.000{col 69}{space 4}-.0794054{col 82}{space 3}-.0265809
{txt}{space 24}edu {c |}{col 29}{res}{space 2} .0117251{col 41}{space 2} .0103932{col 52}{space 1}    1.13{col 61}{space 3}0.259{col 69}{space 4}-.0086563{col 82}{space 3} .0321065
{txt}{space 19}treat_ft {c |}{col 29}{res}{space 2}  .003653{col 41}{space 2}   .01566{col 52}{space 1}    0.23{col 61}{space 3}0.816{col 69}{space 4}-.0270567{col 82}{space 3} .0343627
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .3310854{col 41}{space 2} .0910494{col 52}{space 1}    3.64{col 61}{space 3}0.000{col 69}{space 4} .1525353{col 82}{space 3} .5096355
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store ACorrB
. 
. **Model 3: Priest correction interaction with Hindu**
. reg mes_forward i.treat_idol_priest##i.resp_hindu i.treat_idol_correct $X_full treat_ft , robust

{txt}Linear regression                               Number of obs     = {res}     2,246
                                                {txt}F(8, 2237)        =  {res}    11.96
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0364
                                                {txt}Root MSE          =    {res} .32334

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42}    Robust
{col 1}                 mes_forward{col 30}{c |}      Coef.{col 42}   Std. Err.{col 54}      t{col 62}   P>|t|{col 70}     [95% Con{col 83}f. Interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}treat_idol_priest {c |}
{space 10}Priest correction  {c |}{col 30}{res}{space 2}-.0080842{col 42}{space 2} .0244945{col 53}{space 1}   -0.33{col 62}{space 3}0.741{col 70}{space 4}-.0561186{col 83}{space 3} .0399501
{txt}{space 28} {c |}
{space 18}resp_hindu {c |}
{space 22}Hindu  {c |}{col 30}{res}{space 2} .1035647{col 42}{space 2} .0161564{col 53}{space 1}    6.41{col 62}{space 3}0.000{col 70}{space 4} .0718815{col 83}{space 3} .1352479
{txt}{space 28} {c |}
treat_idol_priest#resp_hindu {c |}
{space 4}Priest correction#Hindu  {c |}{col 30}{res}{space 2}-.0039145{col 42}{space 2} .0286332{col 53}{space 1}   -0.14{col 62}{space 3}0.891{col 70}{space 4}-.0600649{col 83}{space 3} .0522359
{txt}{space 28} {c |}
{space 10}treat_idol_correct {c |}
{space 9}Generic correction  {c |}{col 30}{res}{space 2}-.0068603{col 42}{space 2} .0167256{col 53}{space 1}   -0.41{col 62}{space 3}0.682{col 70}{space 4}-.0396597{col 83}{space 3}  .025939
{txt}{space 25}age {c |}{col 30}{res}{space 2}-.0675602{col 42}{space 2}   .02306{col 53}{space 1}   -2.93{col 62}{space 3}0.003{col 70}{space 4}-.1127815{col 83}{space 3} -.022339
{txt}{space 22}female {c |}{col 30}{res}{space 2}-.0632313{col 42}{space 2}  .013613{col 53}{space 1}   -4.64{col 62}{space 3}0.000{col 70}{space 4}-.0899267{col 83}{space 3}-.0365359
{txt}{space 25}edu {c |}{col 30}{res}{space 2} .0151167{col 42}{space 2} .0104957{col 53}{space 1}    1.44{col 62}{space 3}0.150{col 70}{space 4}-.0054657{col 83}{space 3} .0356991
{txt}{space 20}treat_ft {c |}{col 30}{res}{space 2} .0062485{col 42}{space 2} .0158569{col 53}{space 1}    0.39{col 62}{space 3}0.694{col 70}{space 4}-.0248473{col 83}{space 3} .0373443
{txt}{space 23}_cons {c |}{col 30}{res}{space 2} .3415926{col 42}{space 2} .0923753{col 53}{space 1}    3.70{col 62}{space 3}0.000{col 70}{space 4} .1604423{col 83}{space 3} .5227428
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store ACorrC
. 
. **Model 4: Priest correction interaction with BJP**
. reg mes_forward i.treat_idol_priest##i.vote_bjp i.treat_idol_correct $X_full treat_ft , robust

{txt}Linear regression                               Number of obs     = {res}     2,246
                                                {txt}F(8, 2237)        =  {res}    14.04
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0617
                                                {txt}Root MSE          =    {res} .31906

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}               mes_forward{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      t{col 60}   P>|t|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}treat_idol_priest {c |}
{space 8}Priest correction  {c |}{col 28}{res}{space 2}-.0071595{col 40}{space 2} .0173555{col 51}{space 1}   -0.41{col 60}{space 3}0.680{col 68}{space 4} -.041194{col 81}{space 3}  .026875
{txt}{space 16}1.vote_bjp {c |}{col 28}{res}{space 2} .1641765{col 40}{space 2} .0234993{col 51}{space 1}    6.99{col 60}{space 3}0.000{col 68}{space 4} .1180938{col 81}{space 3} .2102592
{txt}{space 26} {c |}
treat_idol_priest#vote_bjp {c |}
{space 6}Priest correction#1  {c |}{col 28}{res}{space 2}-.0082769{col 40}{space 2} .0396491{col 51}{space 1}   -0.21{col 60}{space 3}0.835{col 68}{space 4}-.0860297{col 81}{space 3} .0694759
{txt}{space 26} {c |}
{space 8}treat_idol_correct {c |}
{space 7}Generic correction  {c |}{col 28}{res}{space 2}-.0107179{col 40}{space 2} .0164329{col 51}{space 1}   -0.65{col 60}{space 3}0.514{col 68}{space 4}-.0429433{col 81}{space 3} .0215075
{txt}{space 23}age {c |}{col 28}{res}{space 2}-.0525585{col 40}{space 2} .0224283{col 51}{space 1}   -2.34{col 60}{space 3}0.019{col 68}{space 4}-.0965409{col 81}{space 3}-.0085761
{txt}{space 20}female {c |}{col 28}{res}{space 2}-.0527651{col 40}{space 2} .0134587{col 51}{space 1}   -3.92{col 60}{space 3}0.000{col 68}{space 4} -.079158{col 81}{space 3}-.0263722
{txt}{space 23}edu {c |}{col 28}{res}{space 2} .0118823{col 40}{space 2} .0103958{col 51}{space 1}    1.14{col 60}{space 3}0.253{col 68}{space 4}-.0085041{col 81}{space 3} .0322686
{txt}{space 18}treat_ft {c |}{col 28}{res}{space 2} .0036788{col 40}{space 2} .0156663{col 51}{space 1}    0.23{col 60}{space 3}0.814{col 68}{space 4}-.0270433{col 81}{space 3} .0344008
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .3281309{col 40}{space 2} .0911314{col 51}{space 1}    3.60{col 60}{space 3}0.000{col 68}{space 4}   .14942{col 81}{space 3} .5068418
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. est store ACorrD
. 
. estout ACorrA ACorrB ACorrC ACorrD  , style(tex)  cells( b(star fmt(%9.3f) label(Coef.)) se(label(Std. err.) par) )  stats(r2 r2_a N, fmt(%9.3f %9.0g) labels(R-squared)) legend label collabels(none) varlabels(_cons Constant) starlevels($^\dag$ 0.10 * 0.05 ** 0.01 *** 0.001) keep(1.treat_idol_correct 1.treat_idol_priest 1.treat_idol_priest#1.resp_hindu 1.treat_idol_correct#1.resp_hindu 1.treat_idol_priest#1.vote_bjp 1.treat_idol_correct#1.vote_bjp 1.resp_hindu 1.vote_bjp age female edu treat_ft _cons)
{res}
                    &      ACorrA   &      ACorrB   &      ACorrC   &      ACorrD   \\
Generic correction  &      -0.025   &      -0.014   &      -0.007   &      -0.011   \\
                    &     (0.022)   &     (0.017)   &     (0.017)   &     (0.016)   \\
Hindu               &       0.093***&               &       0.104***&               \\
                    &     (0.017)   &               &     (0.016)   &               \\
Generic correction $\times$ Hindu&       0.025   &               &               &               \\
                    &     (0.027)   &               &               &               \\
Priest correction   &      -0.011   &      -0.009   &      -0.008   &      -0.007   \\
                    &     (0.017)   &     (0.017)   &     (0.024)   &     (0.017)   \\
Age                 &      -0.067** &      -0.053*  &      -0.068** &      -0.053*  \\
                    &     (0.023)   &     (0.022)   &     (0.023)   &     (0.022)   \\
Gender              &      -0.063***&      -0.053***&      -0.063***&      -0.053***\\
                    &     (0.014)   &     (0.013)   &     (0.014)   &     (0.013)   \\
Education           &       0.015   &       0.012   &       0.015   &       0.012   \\
                    &     (0.010)   &     (0.010)   &     (0.010)   &     (0.010)   \\
Prime               &       0.006   &       0.004   &       0.006   &       0.004   \\
                    &     (0.016)   &     (0.016)   &     (0.016)   &     (0.016)   \\
BJP Voter=1         &               &       0.157***&               &       0.164***\\
                    &               &     (0.023)   &               &     (0.023)   \\
Generic correction $\times$ BJP Voter=1&               &       0.014   &               &               \\
                    &               &     (0.040)   &               &               \\
Priest correction $\times$ Hindu&               &               &      -0.004   &               \\
                    &               &               &     (0.029)   &               \\
Priest correction $\times$ BJP Voter=1&               &               &               &      -0.008   \\
                    &               &               &               &     (0.040)   \\
Constant            &       0.350***&       0.331***&       0.342***&       0.328***\\
                    &     (0.091)   &     (0.091)   &     (0.092)   &     (0.091)   \\
R-squared           &       0.037   &       0.062   &       0.036   &       0.062   \\
r2_a                &    .0332049   &    .0584428   &    .0329682   &    .0583889   \\
N                   &        2246   &        2246   &        2246   &        2246   \\
$^\dag$ p<0.10, * p<0.05, ** p<0.01, *** p<0.001
{com}. {c )-}
. {c )-}
{txt}
{com}. 
. 
{txt}end of do-file

{com}. do "C:\Users\nprasad\AppData\Local\Temp\STDa00_000000.tmp"
{txt}
{com}. ********************************************************************************
. ***Appendix I. Mediation analysis
. ********************************************************************************
. 
{txt}end of do-file

{com}. do "C:\Users\nprasad\AppData\Local\Temp\STDa00_000000.tmp"
{txt}
{com}. *** Table I.1. Mediation analysis; Full Model for Table III
. {c -(}
. eststo clear
. eststo: medeff (regress misinformed treat_ft resp_hindu vote_bjp age female edu) (regress feel_outgroup treat_ft misinformed resp_hindu vote_bjp age female edu), mediate(misinformed) treat(treat_ft) sims(1000)       
Using 0 and 1 as treatment values

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     2,560
{txt}{hline 13}{c +}{hline 34}   F(6, 2553)      = {res}    99.07
{txt}       Model {c |} {res} 80.4722821         6   13.412047   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 345.621468     2,553  .135378562   {txt}R-squared       ={res}    0.1889
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1870
{txt}       Total {c |} {res}  426.09375     2,559  .166507913   {txt}Root MSE        =   {res} .36794

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} misinformed{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}treat_ft {c |}{col 14}{res}{space 2} .2694914{col 26}{space 2} .0170913{col 37}{space 1}   15.77{col 46}{space 3}0.000{col 54}{space 4} .2359773{col 67}{space 3} .3030056
{txt}{space 2}resp_hindu {c |}{col 14}{res}{space 2} .0831496{col 26}{space 2} .0182824{col 37}{space 1}    4.55{col 46}{space 3}0.000{col 54}{space 4} .0472998{col 67}{space 3} .1189995
{txt}{space 4}vote_bjp {c |}{col 14}{res}{space 2} .2563264{col 26}{space 2}  .018209{col 37}{space 1}   14.08{col 46}{space 3}0.000{col 54}{space 4} .2206205{col 67}{space 3} .2920323
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0075532{col 26}{space 2} .0241697{col 37}{space 1}    0.31{col 46}{space 3}0.755{col 54}{space 4}-.0398411{col 67}{space 3} .0549475
{txt}{space 6}female {c |}{col 14}{res}{space 2}-.0121543{col 26}{space 2} .0147457{col 37}{space 1}   -0.82{col 46}{space 3}0.410{col 54}{space 4} -.041069{col 67}{space 3} .0167605
{txt}{space 9}edu {c |}{col 14}{res}{space 2} .0519556{col 26}{space 2} .0111872{col 37}{space 1}    4.64{col 46}{space 3}0.000{col 54}{space 4} .0300186{col 67}{space 3} .0738925
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.2004127{col 26}{space 2} .0954148{col 37}{space 1}   -2.10{col 46}{space 3}0.036{col 54}{space 4}-.3875109{col 67}{space 3}-.0133145
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     2,560
{txt}{hline 13}{c +}{hline 34}   F(7, 2552)      = {res}    19.78
{txt}       Model {c |} {res} 106055.138         7   15150.734   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}    1954592     2,552  765.905956   {txt}R-squared       ={res}    0.0515
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0489
{txt}       Total {c |} {res} 2060647.14     2,559  805.254841   {txt}Root MSE        =   {res} 27.675

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}feel_outgr~p{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}treat_ft {c |}{col 14}{res}{space 2}-3.502886{col 26}{space 2} 1.346686{col 37}{space 1}   -2.60{col 46}{space 3}0.009{col 54}{space 4}-6.143594{col 67}{space 3}-.8621774
{txt}{space 1}misinformed {c |}{col 14}{res}{space 2}-2.631906{col 26}{space 2} 1.488632{col 37}{space 1}   -1.77{col 46}{space 3}0.077{col 54}{space 4}-5.550956{col 67}{space 3} .2871436
{txt}{space 2}resp_hindu {c |}{col 14}{res}{space 2}-9.163707{col 26}{space 2} 1.380696{col 37}{space 1}   -6.64{col 46}{space 3}0.000{col 54}{space 4}-11.87111{col 67}{space 3}-6.456308
{txt}{space 4}vote_bjp {c |}{col 14}{res}{space 2}-8.310196{col 26}{space 2} 1.421777{col 37}{space 1}   -5.84{col 46}{space 3}0.000{col 54}{space 4}-11.09815{col 67}{space 3}-5.522242
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0351756{col 26}{space 2} 1.817996{col 37}{space 1}    0.02{col 46}{space 3}0.985{col 54}{space 4}-3.529721{col 67}{space 3} 3.600072
{txt}{space 6}female {c |}{col 14}{res}{space 2} .5205606{col 26}{space 2} 1.109267{col 37}{space 1}    0.47{col 46}{space 3}0.639{col 54}{space 4}-1.654594{col 67}{space 3} 2.695715
{txt}{space 9}edu {c |}{col 14}{res}{space 2} .0737297{col 26}{space 2} .8450104{col 37}{space 1}    0.09{col 46}{space 3}0.930{col 54}{space 4}-1.583246{col 67}{space 3} 1.730706
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 64.83672{col 26}{space 2} 7.182957{col 37}{space 1}    9.03{col 46}{space 3}0.000{col 54}{space 4}  50.7517{col 67}{space 3} 78.92173
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}{hline 25}{c TT}{hline 52}
        Effect           {c |}  Mean           [95% Conf. Interval]
{hline 25}{c +}{hline 52}
{res}        ACME1            {c |} -.6945022     -1.503585      .0588918
        ACME0            {c |} -.6945022     -1.503585      .0588918
        Direct Effect 1  {c |} -3.530652      -5.99835     -.9857746
        Direct Effect 0  {c |} -3.530652      -5.99835     -.9857746
        Total Effect     {c |} -4.225155     -6.723991     -1.481726
{txt}{hline 25}{c BT}{hline 52}
({res}est1{txt} stored)
{com}. {c )-}
{txt}
{com}. 
{txt}end of do-file

{com}. do "C:\Users\nprasad\AppData\Local\Temp\STDa00_000000.tmp"
{txt}
{com}. *** For Column AM1, Table I.1. Mediation analysis; Full Model for Table III
. preserve
{txt}
{com}. keep if treat_ft==0 | control_idol ==1
{txt}(1,474 observations deleted)

{com}. eststo: medeff (regress misinformed treat_ft resp_hindu vote_bjp age female edu) (regress feel_outgroup treat_ft misinformed resp_hindu vote_bjp age female edu), mediate(misinformed) treat(treat_ft) sims(1000)
Using 0 and 1 as treatment values

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,237
{txt}{hline 13}{c +}{hline 34}   F(6, 1230)      = {res}    58.24
{txt}       Model {c |} {res} 33.8729643         6  5.64549404   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 119.224853     1,230  .096930775   {txt}R-squared       ={res}    0.2213
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2175
{txt}       Total {c |} {res} 153.097817     1,236  .123865548   {txt}Root MSE        =   {res} .31134

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} misinformed{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}treat_ft {c |}{col 14}{res}{space 2} .2767802{col 26}{space 2} .0177786{col 37}{space 1}   15.57{col 46}{space 3}0.000{col 54}{space 4} .2419005{col 67}{space 3} .3116599
{txt}{space 2}resp_hindu {c |}{col 14}{res}{space 2} .0638927{col 26}{space 2} .0221627{col 37}{space 1}    2.88{col 46}{space 3}0.004{col 54}{space 4} .0204118{col 67}{space 3} .1073736
{txt}{space 4}vote_bjp {c |}{col 14}{res}{space 2} .1650122{col 26}{space 2} .0222564{col 37}{space 1}    7.41{col 46}{space 3}0.000{col 54}{space 4} .1213475{col 67}{space 3} .2086769
{txt}{space 9}age {c |}{col 14}{res}{space 2}-.0320433{col 26}{space 2} .0293499{col 37}{space 1}   -1.09{col 46}{space 3}0.275{col 54}{space 4}-.0896248{col 67}{space 3} .0255382
{txt}{space 6}female {c |}{col 14}{res}{space 2}  .001764{col 26}{space 2} .0179954{col 37}{space 1}    0.10{col 46}{space 3}0.922{col 54}{space 4}-.0335411{col 67}{space 3} .0370691
{txt}{space 9}edu {c |}{col 14}{res}{space 2} .0189176{col 26}{space 2}  .013636{col 37}{space 1}    1.39{col 46}{space 3}0.166{col 54}{space 4}-.0078348{col 67}{space 3} .0456701
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0101243{col 26}{space 2} .1155134{col 37}{space 1}    0.09{col 46}{space 3}0.930{col 54}{space 4}-.2165008{col 67}{space 3} .2367493
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,237
{txt}{hline 13}{c +}{hline 34}   F(7, 1229)      = {res}     8.53
{txt}       Model {c |} {res} 46462.4202         7  6637.48861   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 955856.003     1,229   777.75102   {txt}R-squared       ={res}    0.0464
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0409
{txt}       Total {c |} {res} 1002318.42     1,236  810.937236   {txt}Root MSE        =   {res} 27.888

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}feel_outgr~p{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}treat_ft {c |}{col 14}{res}{space 2}-2.062331{col 26}{space 2} 1.742377{col 37}{space 1}   -1.18{col 46}{space 3}0.237{col 54}{space 4}-5.480693{col 67}{space 3} 1.356032
{txt}{space 1}misinformed {c |}{col 14}{res}{space 2}-2.554841{col 26}{space 2} 2.554094{col 37}{space 1}   -1.00{col 46}{space 3}0.317{col 54}{space 4}-7.565708{col 67}{space 3} 2.456026
{txt}{space 2}resp_hindu {c |}{col 14}{res}{space 2}-9.340462{col 26}{space 2} 1.991932{col 37}{space 1}   -4.69{col 46}{space 3}0.000{col 54}{space 4}-13.24843{col 67}{space 3}-5.432498
{txt}{space 4}vote_bjp {c |}{col 14}{res}{space 2}-7.932429{col 26}{space 2}  2.03769{col 37}{space 1}   -3.89{col 46}{space 3}0.000{col 54}{space 4}-11.93017{col 67}{space 3}-3.934692
{txt}{space 9}age {c |}{col 14}{res}{space 2} 2.901344{col 26}{space 2} 2.630309{col 37}{space 1}    1.10{col 46}{space 3}0.270{col 54}{space 4} -2.25905{col 67}{space 3} 8.061737
{txt}{space 6}female {c |}{col 14}{res}{space 2}-.0785173{col 26}{space 2} 1.611953{col 37}{space 1}   -0.05{col 46}{space 3}0.961{col 54}{space 4}-3.241002{col 67}{space 3} 3.083968
{txt}{space 9}edu {c |}{col 14}{res}{space 2} .6174944{col 26}{space 2} 1.222411{col 37}{space 1}    0.51{col 46}{space 3}0.614{col 54}{space 4}-1.780749{col 67}{space 3} 3.015738
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 54.13219{col 26}{space 2} 10.34721{col 37}{space 1}    5.23{col 46}{space 3}0.000{col 54}{space 4} 33.83205{col 67}{space 3} 74.43234
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}{hline 25}{c TT}{hline 52}
        Effect           {c |}  Mean           [95% Conf. Interval]
{hline 25}{c +}{hline 52}
{res}        ACME1            {c |} -.6828083     -2.051901      .5863428
        ACME0            {c |} -.6828083     -2.051901      .5863428
        Direct Effect 1  {c |} -2.098256     -5.291027      1.194373
        Direct Effect 0  {c |} -2.098256     -5.291027      1.194373
        Total Effect     {c |} -2.781064     -6.178519       .925382
{txt}{hline 25}{c BT}{hline 52}
({res}est2{txt} stored)

{com}. restore 
{txt}
{com}. 
. 
. *** For Column AM2, Table I.1. Mediation analysis; Full Model for Table III
. eststo: medeff (regress emisinformed treat_ft resp_hindu vote_bjp age female edu) (regress feel_outgroup treat_ft emisinformed resp_hindu vote_bjp age female edu), mediate(emisinformed) treat(treat_ft) sims(1000)    
Using 0 and 1 as treatment values

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     2,560
{txt}{hline 13}{c +}{hline 34}   F(6, 2553)      = {res}   100.76
{txt}       Model {c |} {res} 51.3292494         6   8.5548749   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 216.764403     2,553  .084905759   {txt}R-squared       ={res}    0.1915
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1896
{txt}       Total {c |} {res} 268.093652     2,559  .104765007   {txt}Root MSE        =   {res} .29139

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}emisinformed{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}treat_ft {c |}{col 14}{res}{space 2} .1992818{col 26}{space 2} .0135353{col 37}{space 1}   14.72{col 46}{space 3}0.000{col 54}{space 4} .1727405{col 67}{space 3}  .225823
{txt}{space 2}resp_hindu {c |}{col 14}{res}{space 2} .0677441{col 26}{space 2} .0144786{col 37}{space 1}    4.68{col 46}{space 3}0.000{col 54}{space 4} .0393531{col 67}{space 3} .0961351
{txt}{space 4}vote_bjp {c |}{col 14}{res}{space 2} .2221758{col 26}{space 2} .0144205{col 37}{space 1}   15.41{col 46}{space 3}0.000{col 54}{space 4} .1938988{col 67}{space 3} .2504528
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0192274{col 26}{space 2}  .019141{col 37}{space 1}    1.00{col 46}{space 3}0.315{col 54}{space 4}-.0183061{col 67}{space 3}  .056761
{txt}{space 6}female {c |}{col 14}{res}{space 2}-.0117834{col 26}{space 2} .0116777{col 37}{space 1}   -1.01{col 46}{space 3}0.313{col 54}{space 4}-.0346822{col 67}{space 3} .0111154
{txt}{space 9}edu {c |}{col 14}{res}{space 2}   .03837{col 26}{space 2} .0088596{col 37}{space 1}    4.33{col 46}{space 3}0.000{col 54}{space 4} .0209972{col 67}{space 3} .0557428
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.2075381{col 26}{space 2}  .075563{col 37}{space 1}   -2.75{col 46}{space 3}0.006{col 54}{space 4}-.3557091{col 67}{space 3}-.0593671
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     2,560
{txt}{hline 13}{c +}{hline 34}   F(7, 2552)      = {res}    19.66
{txt}       Model {c |} {res} 105448.038         7  15064.0055   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}  1955199.1     2,552  766.143848   {txt}R-squared       ={res}    0.0512
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0486
{txt}       Total {c |} {res} 2060647.14     2,559  805.254841   {txt}Root MSE        =   {res} 27.679

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}feel_outgr~p{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}treat_ft {c |}{col 14}{res}{space 2}-3.639978{col 26}{space 2} 1.339216{col 37}{space 1}   -2.72{col 46}{space 3}0.007{col 54}{space 4} -6.26604{col 67}{space 3}-1.013917
{txt}emisinformed {c |}{col 14}{res}{space 2}-2.871229{col 26}{space 2} 1.880014{col 37}{space 1}   -1.53{col 46}{space 3}0.127{col 54}{space 4}-6.557738{col 67}{space 3} .8152801
{txt}{space 2}resp_hindu {c |}{col 14}{res}{space 2} -9.18804{col 26}{space 2} 1.381235{col 37}{space 1}   -6.65{col 46}{space 3}0.000{col 54}{space 4} -11.8965{col 67}{space 3}-6.479586
{txt}{space 4}vote_bjp {c |}{col 14}{res}{space 2}-8.346905{col 26}{space 2} 1.432096{col 37}{space 1}   -5.83{col 46}{space 3}0.000{col 54}{space 4}-11.15509{col 67}{space 3}-5.538716
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0705027{col 26}{space 2} 1.818602{col 37}{space 1}    0.04{col 46}{space 3}0.969{col 54}{space 4}-3.495584{col 67}{space 3} 3.636589
{txt}{space 6}female {c |}{col 14}{res}{space 2} .5187167{col 26}{space 2} 1.109513{col 37}{space 1}    0.47{col 46}{space 3}0.640{col 54}{space 4} -1.65692{col 67}{space 3} 2.694353
{txt}{space 9}edu {c |}{col 14}{res}{space 2} .0471566{col 26}{space 2}   .84468{col 37}{space 1}    0.06{col 46}{space 3}0.955{col 54}{space 4}-1.609171{col 67}{space 3} 1.703484
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  64.7683{col 26}{space 2} 7.188469{col 37}{space 1}    9.01{col 46}{space 3}0.000{col 54}{space 4} 50.67247{col 67}{space 3} 78.86412
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}{hline 25}{c TT}{hline 52}
        Effect           {c |}  Mean           [95% Conf. Interval]
{hline 25}{c +}{hline 52}
{res}        ACME1            {c |} -.5583062     -1.317652      .1479705
        ACME0            {c |} -.5583062     -1.317652      .1479705
        Direct Effect 1  {c |} -3.667591     -6.121601     -1.136829
        Direct Effect 0  {c |} -3.667591     -6.121601     -1.136829
        Total Effect     {c |} -4.225897     -6.704511     -1.517114
{txt}{hline 25}{c BT}{hline 52}
({res}est3{txt} stored)

{com}.  
. 
. *** For Column AM3, Table I.1. Mediation analysis; Full Model for Table III
. eststo: medeff (regress smisinformed treat_ft resp_hindu vote_bjp age female edu) (regress feel_outgroup treat_ft smisinformed resp_hindu vote_bjp age female edu), mediate(smisinformed) treat(treat_ft) sims(1000)
Using 0 and 1 as treatment values

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     2,560
{txt}{hline 13}{c +}{hline 34}   F(6, 2553)      = {res}    61.32
{txt}       Model {c |} {res} 29.5228484         6  4.92047473   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 204.867386     2,553  .080245745   {txt}R-squared       ={res}    0.1260
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1239
{txt}       Total {c |} {res} 234.390234     2,559  .091594464   {txt}Root MSE        =   {res} .28328

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}smisinformed{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}treat_ft {c |}{col 14}{res}{space 2} .1290721{col 26}{space 2} .0131586{col 37}{space 1}    9.81{col 46}{space 3}0.000{col 54}{space 4} .1032695{col 67}{space 3} .1548748
{txt}{space 2}resp_hindu {c |}{col 14}{res}{space 2} .0523386{col 26}{space 2} .0140757{col 37}{space 1}    3.72{col 46}{space 3}0.000{col 54}{space 4} .0247377{col 67}{space 3} .0799395
{txt}{space 4}vote_bjp {c |}{col 14}{res}{space 2} .1880252{col 26}{space 2} .0140192{col 37}{space 1}   13.41{col 46}{space 3}0.000{col 54}{space 4} .1605351{col 67}{space 3} .2155153
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0309017{col 26}{space 2} .0186083{col 37}{space 1}    1.66{col 46}{space 3}0.097{col 54}{space 4}-.0055873{col 67}{space 3} .0673907
{txt}{space 6}female {c |}{col 14}{res}{space 2}-.0114125{col 26}{space 2} .0113528{col 37}{space 1}   -1.01{col 46}{space 3}0.315{col 54}{space 4}-.0336741{col 67}{space 3} .0108491
{txt}{space 9}edu {c |}{col 14}{res}{space 2} .0247844{col 26}{space 2} .0086131{col 37}{space 1}    2.88{col 46}{space 3}0.004{col 54}{space 4} .0078951{col 67}{space 3} .0416738
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.2146635{col 26}{space 2} .0734601{col 37}{space 1}   -2.92{col 46}{space 3}0.004{col 54}{space 4} -.358711{col 67}{space 3} -.070616
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     2,560
{txt}{hline 13}{c +}{hline 34}   F(7, 2552)      = {res}    19.42
{txt}       Model {c |} {res} 104209.219         7  14887.0313   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1956437.92     2,552  766.629278   {txt}R-squared       ={res}    0.0506
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0480
{txt}       Total {c |} {res} 2060647.14     2,559  805.254841   {txt}Root MSE        =   {res} 27.688

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}feel_outgr~p{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}treat_ft {c |}{col 14}{res}{space 2}-4.001029{col 26}{space 2} 1.310162{col 37}{space 1}   -3.05{col 46}{space 3}0.002{col 54}{space 4}-6.570118{col 67}{space 3} -1.43194
{txt}smisinformed {c |}{col 14}{res}{space 2}-1.635776{col 26}{space 2} 1.934445{col 37}{space 1}   -0.85{col 46}{space 3}0.398{col 54}{space 4}-5.429017{col 67}{space 3} 2.157465
{txt}{space 2}resp_hindu {c |}{col 14}{res}{space 2}-9.296935{col 26}{space 2} 1.379506{col 37}{space 1}   -6.74{col 46}{space 3}0.000{col 54}{space 4}  -12.002{col 67}{space 3}-6.591869
{txt}{space 4}vote_bjp {c |}{col 14}{res}{space 2}-8.677256{col 26}{space 2} 1.417715{col 37}{space 1}   -6.12{col 46}{space 3}0.000{col 54}{space 4}-11.45724{col 67}{space 3}-5.897266
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0658445{col 26}{space 2} 1.819801{col 37}{space 1}    0.04{col 46}{space 3}0.971{col 54}{space 4}-3.502593{col 67}{space 3} 3.634282
{txt}{space 6}female {c |}{col 14}{res}{space 2} .5338813{col 26}{space 2} 1.109862{col 37}{space 1}    0.48{col 46}{space 3}0.631{col 54}{space 4}-1.642441{col 67}{space 3} 2.710204
{txt}{space 9}edu {c |}{col 14}{res}{space 2}-.0224707{col 26}{space 2} .8432248{col 37}{space 1}   -0.03{col 46}{space 3}0.979{col 54}{space 4}-1.675945{col 67}{space 3} 1.631004
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 65.01304{col 26}{space 2} 7.192144{col 37}{space 1}    9.04{col 46}{space 3}0.000{col 54}{space 4} 50.91001{col 67}{space 3} 79.11608
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}{hline 25}{c TT}{hline 52}
        Effect           {c |}  Mean           [95% Conf. Interval]
{hline 25}{c +}{hline 52}
{res}        ACME1            {c |} -.2014135     -.7206134      .2754505
        ACME0            {c |} -.2014135     -.7206134      .2754505
        Direct Effect 1  {c |} -4.028042     -6.428813     -1.552185
        Direct Effect 0  {c |} -4.028042     -6.428813     -1.552185
        Total Effect     {c |} -4.229456     -6.632263     -1.653837
{txt}{hline 25}{c BT}{hline 52}
({res}est4{txt} stored)

{com}. 
{txt}end of do-file

{com}. capture log close
{smcl}
{com}{sf}{ul off}